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Angel A. Juan

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. K. Peren Arin & Juan A. & Francisco Lagos & Ana I. Moro-Egido & Marcel Thum, 2022. "Exploring the Hidden Impact of the Covid-19 Pandemic. The Role of Urbanization," ThE Papers 22/02, Department of Economic Theory and Economic History of the University of Granada..

    Cited by:

    1. Lepinteur, Anthony & Rebechi, Alessio & Clark, Andrew E. & D'Ambrosio, Conchita & Rohde, Nicholas & Vögele, Claus, 2024. "Loneliness during the COVID-19 Pandemic: Evidence from Five European Countries," IZA Discussion Papers 17223, Institute of Labor Economics (IZA).
    2. Juan A. & Francisco Lagos & Ana I. Moro-Egido, 2022. "Job Insecurity during the COVID-19 Pandemic in Spain," ThE Papers 22/10, Department of Economic Theory and Economic History of the University of Granada..
    3. Mari-Isabella Stan, 2022. "The impact of the pandemic crisis on employment in the context of urbanization," Technium Social Sciences Journal, Technium Science, vol. 33(1), pages 492-505, July.
    4. Bárcena-Martín, Elena & Molina, Julián & Muñoz-Fernández, Ana & Pérez-Moreno, Salvador, 2022. "Vulnerability and COVID-19 infection rates: A changing relationship during the first year of the pandemic," Economics & Human Biology, Elsevier, vol. 47(C).
    5. Han, Yang, 2022. "The impact of the COVID-19 pandemic on China's economic structure: An input–output approach," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 181-195.

  2. K. Peren Arin & Juan A. & Francisco Lagos & Deni Mazrekaj & Marcel Thum, 2022. "Misperceptions and Fake News During the COVID-19 Pandemic," ThE Papers 22/03, Department of Economic Theory and Economic History of the University of Granada..

    Cited by:

    1. Kerim Peren Arin & Juan A. Lacomba & Francisco Lagos & Deni Mazrekaj & Marcel Thum, 2022. "Hohe Fehlwahrnehmungen zu wichtigen politischen Themen in der Bevölkerung," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 29(02), pages 10-14, April.
    2. Giuseppina Lo Moro & Giacomo Scaioli & Fabrizio Bert & Andrea Lorenzo Zacchero & Ettore Minutiello & Roberta Siliquini, 2022. "Exploring the Relationship between COVID-19 Vaccine Refusal and Belief in Fake News and Conspiracy Theories: A Nationwide Cross-Sectional Study in Italy," IJERPH, MDPI, vol. 19(15), pages 1-12, July.

  3. Majid Eskandarpour & Djamila Ouelhadj & Sara Hatami & Angel Juan & Banafsheh Khosravi, 2019. "Enhanced multi-directional local search for the bi-objective heterogeneous vehicle routing problem with multiple driving ranges," Post-Print hal-02511086, HAL.

    Cited by:

    1. Zajac, Sandra & Huber, Sandra, 2021. "Objectives and methods in multi-objective routing problems: a survey and classification scheme," European Journal of Operational Research, Elsevier, vol. 290(1), pages 1-25.
    2. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem, 2021. "Green vehicle routing problem: A state-of-the-art review," Post-Print hal-03182944, HAL.
    3. Anderluh, Alexandra & Nolz, Pamela C. & Hemmelmayr, Vera C. & Crainic, Teodor Gabriel, 2021. "Multi-objective optimization of a two-echelon vehicle routing problem with vehicle synchronization and ‘grey zone’ customers arising in urban logistics," European Journal of Operational Research, Elsevier, vol. 289(3), pages 940-958.
    4. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).
    5. Garside, Annisa Kesy & Ahmad, Robiah & Muhtazaruddin, Mohd Nabil Bin, 2024. "A recent review of solution approaches for green vehicle routing problem and its variants," Operations Research Perspectives, Elsevier, vol. 12(C).
    6. José-Fernando Camacho-Vallejo & Lilian López-Vera & Alice E. Smith & José-Luis González-Velarde, 2022. "A tabu search algorithm to solve a green logistics bi-objective bi-level problem," Annals of Operations Research, Springer, vol. 316(2), pages 927-953, September.
    7. Nasreddine Ouertani & Hajer Ben-Romdhane & Saoussen Krichen & Issam Nouaouri, 2022. "A vector evaluated evolutionary algorithm with exploitation reinforcement for the dynamic pollution routing problem," Journal of Combinatorial Optimization, Springer, vol. 44(2), pages 1011-1038, September.
    8. Miriam Enzi & Sophie N. Parragh & Jakob Puchinger, 2022. "The bi-objective multimodal car-sharing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 307-348, June.
    9. Bochra Rabbouch & Foued Saâdaoui & Rafaa Mraihi, 2021. "Efficient implementation of the genetic algorithm to solve rich vehicle routing problems," Operational Research, Springer, vol. 21(3), pages 1763-1791, September.
    10. Yong Wang & Jiayi Zhe & Xiuwen Wang & Yaoyao Sun & Haizhong Wang, 2022. "Collaborative Multidepot Vehicle Routing Problem with Dynamic Customer Demands and Time Windows," Sustainability, MDPI, vol. 14(11), pages 1-37, May.
    11. Leandro do C. Martins & Rafael D. Tordecilla & Juliana Castaneda & Angel A. Juan & Javier Faulin, 2021. "Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation," Energies, MDPI, vol. 14(16), pages 1-30, August.
    12. Majid Eskandarpour & Pierre Dejax & Olivier Péton, 2019. "Multi-Directional Local Search for Sustainable Supply Chain Network Design," Post-Print hal-02407741, HAL.
    13. Yanfei Zhu & Chunhui Li & Kwang Y. Lee, 2022. "The NR-EGA for the EVRP Problem with the Electric Energy Consumption Model," Energies, MDPI, vol. 15(10), pages 1-12, May.
    14. Seyfi, Majid & Alinaghian, Mahdi & Ghorbani, Erfan & Çatay, Bülent & Saeid Sabbagh, Mohammad, 2022. "Multi-mode hybrid electric vehicle routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    15. Ebrahim Teimoury & Reza Rashid, 2024. "A hybrid variable neighborhood search heuristic for the sustainable time-dependent truck-drone routing problem with rendezvous locations," Journal of Heuristics, Springer, vol. 30(1), pages 1-41, April.
    16. Erfan Ghorbani & Mahdi Alinaghian & Gevork. B. Gharehpetian & Sajad Mohammadi & Guido Perboli, 2020. "A Survey on Environmentally Friendly Vehicle Routing Problem and a Proposal of Its Classification," Sustainability, MDPI, vol. 12(21), pages 1-71, October.
    17. Yuda Li & Mohammad Peyman & Javier Panadero & Angel A. Juan & Fatos Xhafa, 2022. "IoT Analytics and Agile Optimization for Solving Dynamic Team Orienteering Problems with Mandatory Visits," Mathematics, MDPI, vol. 10(6), pages 1-21, March.

Articles

  1. Wenwen Chen & Yangchongyi Men & Noelia Fuster & Celia Osorio & Angel A. Juan, 2024. "Artificial Intelligence in Logistics Optimization with Sustainable Criteria: A Review," Sustainability, MDPI, vol. 16(21), pages 1-22, October.

    Cited by:

    1. Yanlei Gao & Jingwen Liang, 2025. "The Impact of AI-Powered Try-On Technology on Online Consumers’ Impulsive Buying Intention: The Moderating Role of Brand Trust," Sustainability, MDPI, vol. 17(7), pages 1-29, March.
    2. Aylin Erdoğdu & Faruk Dayi & Ferah Yildiz & Ahmet Yanik & Farshad Ganji, 2025. "Combining Fuzzy Logic and Genetic Algorithms to Optimize Cost, Time and Quality in Modern Agriculture," Sustainability, MDPI, vol. 17(7), pages 1-41, March.
    3. Davor Mance & Siniša Vilke & Borna Debelić, 2025. "Information and Communication Technology, and Supply Chains as Economic Drivers in the European Union," Logistics, MDPI, vol. 9(2), pages 1-18, April.
    4. Batin Latif Aylak, 2025. "SustAI-SCM: Intelligent Supply Chain Process Automation with Agentic AI for Sustainability and Cost Efficiency," Sustainability, MDPI, vol. 17(6), pages 1-24, March.
    5. Kewei Wang & Kekun Fan & Yuhong Chen, 2025. "Optimization of Logistics Distribution Centers Based on Economic Efficiency and Sustainability: Data Support from the Hohhot–Baotou–Ordos–Ulanqab Urban Agglomeration," Sustainability, MDPI, vol. 17(7), pages 1-47, April.

  2. Elnaz Ghorbani & Tristan Fluechter & Laura Calvet & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2023. "Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy," Energies, MDPI, vol. 16(3), pages 1-19, January.

    Cited by:

    1. Zhengying Cai & Xiaolu Wang & Rui Li & Qi Gao, 2023. "An Artificial Physarum polycephalum Colony for the Electric Location-Routing Problem," Sustainability, MDPI, vol. 15(23), pages 1-29, November.
    2. Aleksandra Gulc & Klaudia Budna, 2024. "Classification of Smart and Sustainable Urban Mobility," Energies, MDPI, vol. 17(9), pages 1-18, April.
    3. Amor Jiménez-Jiménez & Pilar Sancha & Ana Gessa, 2024. "Beyond Chartering: Adapting the Offer to Customer Behavior for a Sustainable Yachting Industry," Sustainability, MDPI, vol. 16(24), pages 1-16, December.

  3. Jonas F. Leon & Yuda Li & Mohammad Peyman & Laura Calvet & Angel A. Juan, 2023. "A Discrete-Event Simheuristic for Solving a Realistic Storage Location Assignment Problem," Mathematics, MDPI, vol. 11(7), pages 1-24, March.

    Cited by:

    1. Jonas F. Leon & Mohammad Peyman & Xabier A. Martin & Angel A. Juan, 2024. "Simulation of Heuristics for Automated Guided Vehicle Task Sequencing with Resource Sharing and Dynamic Queues," Mathematics, MDPI, vol. 12(2), pages 1-19, January.
    2. Mengyue Zhai & Zheng Wang, 2024. "Optimizing Rack Locations in the Mobile-Rack Picking System: A Method of Integrating Rack Heat and Relevance," Mathematics, MDPI, vol. 12(3), pages 1-20, January.
    3. Kitti Udvardy & Polina Görbe & Tamás Bódis & János Botzheim, 2024. "Conceptual Framework for Adaptive Bacterial Memetic Algorithm Parameterization in Storage Location Assignment Problem," Mathematics, MDPI, vol. 12(23), pages 1-16, November.
    4. Yuling Liang & Zhi Shao & Hanguang Su & Lei Liu & Xiao Mao, 2024. "Integral Reinforcement Learning-Based Online Adaptive Dynamic Event-Triggered Control Design in Mixed Zero-Sum Games for Unknown Nonlinear Systems," Mathematics, MDPI, vol. 12(24), pages 1-29, December.

  4. Angel A. Juan & Majsa Ammouriova & Veronika Tsertsvadze & Celia Osorio & Noelia Fuster & Yusef Ahsini, 2023. "Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics," Energies, MDPI, vol. 16(20), pages 1-19, October.

    Cited by:

    1. Dong-Kyu Kim & Yeon-Woog Kang & Hye-Rin Jo & Jin Geon Kim & Minwoo Lee, 2024. "Direct Air Cooling of Pipe-Type Transmission Cable for Ampacity Enhancement: Simulations and Experiments," Energies, MDPI, vol. 17(2), pages 1-13, January.

  5. Raquel Soriano-Gonzalez & Elena Perez-Bernabeu & Yusef Ahsini & Patricia Carracedo & Andres Camacho & Angel A. Juan, 2023. "Analyzing Key Performance Indicators for Mobility Logistics in Smart and Sustainable Cities: A Case Study Centered on Barcelona," Logistics, MDPI, vol. 7(4), pages 1-20, October.

    Cited by:

    1. Bartosz Sawik, 2024. "Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping," Logistics, MDPI, vol. 8(2), pages 1-29, May.
    2. Musrat Gul Bhellar & Mir Aftab Hussain Talpur & Shabir Hussain Khahro & Tauha Hussain Ali & Yasir Javed, 2023. "Visualizing Travel Accessibility in a Congested City Center: A GIS-Based Isochrone Model and Trip Rate Analysis Considering Sustainable Transportation Solutions," Sustainability, MDPI, vol. 15(23), pages 1-23, December.

  6. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.

    Cited by:

    1. Marco Antonio Boschetti & Vittorio Maniezzo, 2024. "Contemporary approaches in matheuristics an updated survey," Annals of Operations Research, Springer, vol. 343(2), pages 663-700, December.
    2. Lei Liu & Marcello Urgo, 2024. "Robust scheduling in a two-machine re-entrant flow shop to minimise the value-at-risk of the makespan: branch-and-bound and heuristic algorithms based on Markovian activity networks and phase-type dis," Annals of Operations Research, Springer, vol. 338(1), pages 741-764, July.

  7. Yuda Li & Mohammad Peyman & Javier Panadero & Angel A. Juan & Fatos Xhafa, 2022. "IoT Analytics and Agile Optimization for Solving Dynamic Team Orienteering Problems with Mandatory Visits," Mathematics, MDPI, vol. 10(6), pages 1-21, March.

    Cited by:

    1. Ming Wan & Ting Qu & Manna Huang & Xiaohua Qiu & George Q. Huang & Jinfu Zhu & Junrong Chen, 2022. "Cloud-Edge-Terminal-Based Synchronized Decision-Making and Control System for Municipal Solid Waste Collection and Transportation," Mathematics, MDPI, vol. 10(19), pages 1-20, September.
    2. Antonio R. Uguina & Juan F. Gomez & Javier Panadero & Anna Martínez-Gavara & Angel A. Juan, 2024. "A Learnheuristic Algorithm Based on Thompson Sampling for the Heterogeneous and Dynamic Team Orienteering Problem," Mathematics, MDPI, vol. 12(11), pages 1-19, June.

  8. Arnau, Quim & Barrena, Eva & Panadero, Javier & de la Torre, Rocio & Juan, Angel A., 2022. "A biased-randomized discrete-event heuristic for coordinated multi-vehicle container transport across interconnected networks," European Journal of Operational Research, Elsevier, vol. 302(1), pages 348-362.

    Cited by:

    1. Javier Panadero & Eva Barrena & Angel A. Juan & David Canca, 2022. "The Stochastic Team Orienteering Problem with Position-Dependent Rewards," Mathematics, MDPI, vol. 10(16), pages 1-25, August.
    2. Yan Yang & Qiang Zhou, 2023. "Modeling and Simulation of Crude Oil Sea–River Transshipment System in China’s Yangtze River Basin," Energies, MDPI, vol. 16(6), pages 1-16, March.

  9. Wishal Naveed & Majsa Ammouriova & Noman Naveed & Angel A. Juan, 2022. "Circular Economy and Information Technologies: Identifying and Ranking the Factors of Successful Practices," Sustainability, MDPI, vol. 14(23), pages 1-18, November.

    Cited by:

    1. Yazeed Alsuhaibany, 2025. "Digital Innovation and Circular Economy: A Nexus for Sustainable Oil and Gas Sector Transformation in Saudi Arabia," Sustainability, MDPI, vol. 17(3), pages 1-18, February.

  10. Juliana Castaneda & Xabier A. Martin & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2022. "A Fuzzy Simheuristic for the Permutation Flow Shop Problem under Stochastic and Fuzzy Uncertainty," Mathematics, MDPI, vol. 10(10), pages 1-17, May.

    Cited by:

    1. Alexey V. Yakovlev & Vladimir V. Alekseev & Maria V. Volchikhina & Sergey V. Petrenko, 2022. "A Combinatorial Model for Determining Information Loss in Organizational and Technical Systems," Mathematics, MDPI, vol. 10(19), pages 1-12, September.

  11. Javier Panadero & Eva Barrena & Angel A. Juan & David Canca, 2022. "The Stochastic Team Orienteering Problem with Position-Dependent Rewards," Mathematics, MDPI, vol. 10(16), pages 1-25, August.

    Cited by:

    1. Antonio R. Uguina & Juan F. Gomez & Javier Panadero & Anna Martínez-Gavara & Angel A. Juan, 2024. "A Learnheuristic Algorithm Based on Thompson Sampling for the Heterogeneous and Dynamic Team Orienteering Problem," Mathematics, MDPI, vol. 12(11), pages 1-19, June.

  12. Daniela Mazza & Daniele Tarchi & Angel A. Juan, 2022. "Advanced Technologies in Smart Cities," Energies, MDPI, vol. 15(13), pages 1-3, June.

    Cited by:

    1. Ihsan Hamawand, 2023. "Energy Consumption in Water/Wastewater Treatment Industry—Optimisation Potentials," Energies, MDPI, vol. 16(5), pages 1-3, March.

  13. Juliana Castaneda & Elnaz Ghorbani & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2022. "Optimizing Transport Logistics under Uncertainty with Simheuristics: Concepts, Review and Trends," Logistics, MDPI, vol. 6(3), pages 1-15, June.

    Cited by:

    1. Chakat Chueadee & Preecha Kriengkorakot & Nuchsara Kriengkorakot, 2022. "MDEALNS for Solving the Tapioca Starch Logistics Network Problem for the Land Port of Nakhon Ratchasima Province, Thailand," Logistics, MDPI, vol. 6(4), pages 1-24, October.
    2. Álvarez, Pablo & Serrano-Hernandez, Adrian & Lerga, Iosu & Faulin, Javier, 2024. "Optimizing freight delivery routes: The time-distance dilemma," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    3. Shuyue Peng & Qinming Liu & Jiarui Hu, 2023. "Green Distribution Route Optimization of Medical Relief Supplies Based on Improved NSGA-II Algorithm under Dual-Uncertainty," Sustainability, MDPI, vol. 15(15), pages 1-22, August.

  14. Rocio de la Torre & Bhakti S. Onggo & Canan G. Corlu & Maria Nogal & Angel A. Juan, 2021. "The Role of Simulation and Serious Games in Teaching Concepts on Circular Economy and Sustainable Energy," Energies, MDPI, vol. 14(4), pages 1-21, February.

    Cited by:

    1. Luca Piero Vecchio & Alexia Del Greco, 2023. "Game-Based Solutions and the Plastic Problem: A Systematic Review," Sustainability, MDPI, vol. 15(6), pages 1-33, March.
    2. Damjan Krajnc & Darko Kovačič & Eva Žunec & Kristijan Brglez & Rebeka Kovačič Lukman, 2022. "Youth Awareness and Attitudes towards a Circular Economy to Achieve the Green Deal Goals," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    3. Vien-Thong Nguyen & Philip Hallinger & Parinya Showanasai, 2024. "Evaluating the Effectiveness of the Leading Change for Sustainability in Schools Simulation: A Research and Development Project," Simulation & Gaming, , vol. 55(1), pages 51-81, February.
    4. Sergey Zhironkin, 2022. "Advances in Sustainable Development: Technological and Economic Overview," Energies, MDPI, vol. 15(17), pages 1-5, September.
    5. Margarita Ignatyeva & Vera Yurak & Alexey Dushin & Vladimir Strovsky & Sergey Zavyalov & Alexander Malyshev & Polina Karimova, 2021. "How Far Away Are World Economies from Circularity: Assessing the Capacity of Circular Economy Policy Packages in the Operation of Raw Materials and Industrial Wastes," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    6. David Ernesto Salinas-Navarro & Jaime Alberto Palma-Mendoza & Eliseo Vilalta-Perdomo, 2024. "Integrating Circular Supply Chains into Experiential Learning: Enhancing Learning Experiences in Higher Education," Sustainability, MDPI, vol. 16(23), pages 1-25, December.
    7. Fabio De Felice & Antonella Petrillo, 2021. "Green Transition: The Frontier of the Digicircular Economy Evidenced from a Systematic Literature Review," Sustainability, MDPI, vol. 13(19), pages 1-26, October.
    8. Ma. Janice J. Gumasing & Ron Fourier B. Alonzo & Jose Mari V. Nazareno & Ken Lance D. Guinto, 2023. "Antecedents of Cloud Gaming Acceptance among Gen Z: Achieving Sustainability in the Digital Gaming Industry," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    9. Yishu Zhou & Joseph D. Smith & Greg Gelles, 2022. "Teaching Energy Economics in the GCC: A Synergistic Approach between Engineering and Economics," Energies, MDPI, vol. 15(19), pages 1-11, September.
    10. Saskia Manshoven & Jeroen Gillabel, 2021. "Learning through Play: A Serious Game as a Tool to Support Circular Economy Education and Business Model Innovation," Sustainability, MDPI, vol. 13(23), pages 1-25, November.

  15. Mohammad Peyman & Pedro J. Copado & Rafael D. Tordecilla & Leandro do C. Martins & Fatos Xhafa & Angel A. Juan, 2021. "Edge Computing and IoT Analytics for Agile Optimization in Intelligent Transportation Systems," Energies, MDPI, vol. 14(19), pages 1-26, October.

    Cited by:

    1. Satheesh Abimannan & El-Sayed M. El-Alfy & Shahid Hussain & Yue-Shan Chang & Saurabh Shukla & Dhivyadharsini Satheesh & John G. Breslin, 2023. "Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment," Sustainability, MDPI, vol. 15(18), pages 1-34, September.
    2. Daniela Mazza & Daniele Tarchi & Angel A. Juan, 2022. "Advanced Technologies in Smart Cities," Energies, MDPI, vol. 15(13), pages 1-3, June.

  16. Rocio de la Torre & Canan G. Corlu & Javier Faulin & Bhakti S. Onggo & Angel A. Juan, 2021. "Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications," Sustainability, MDPI, vol. 13(3), pages 1-21, February.

    Cited by:

    1. Elnaz Ghorbani & Tristan Fluechter & Laura Calvet & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2023. "Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy," Energies, MDPI, vol. 16(3), pages 1-19, January.
    2. Daria Bylieva & Victoria Lobatyuk & Irina Shestakova, 2022. "Shared Micromobility: Between Physical and Digital Reality," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    3. Wenwen Chen & Yangchongyi Men & Noelia Fuster & Celia Osorio & Angel A. Juan, 2024. "Artificial Intelligence in Logistics Optimization with Sustainable Criteria: A Review," Sustainability, MDPI, vol. 16(21), pages 1-22, October.
    4. Vasco Silva & António Amaral & Tânia Fontes, 2023. "Sustainable Urban Last-Mile Logistics: A Systematic Literature Review," Sustainability, MDPI, vol. 15(3), pages 1-27, January.
    5. Bartosz Sawik, 2024. "Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping," Logistics, MDPI, vol. 8(2), pages 1-29, May.
    6. Farheen Naz & Rohit Agrawal & Anil Kumar & Angappa Gunasekaran & Abhijit Majumdar & Sunil Luthra, 2022. "Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2400-2423, July.
    7. Rodrigo Rodrigues de Freitas & Márcio de Almeida D’Agosto & Lino Guimarães Marujo, 2021. "Methodological Proposal for Recognition Systems in Sustainable Freight Transport," Sustainability, MDPI, vol. 13(13), pages 1-16, July.
    8. Kaiqi Chen & Pingting Zhou & Jingyi Liu & Min Deng & Qi Guo & Chen Yao & Jinyong Chen & Xinyu Pei, 2025. "Trajectory Forecasting for Human Mobility Considering Movement Patterns and the Heterogeneous Effects of Geographical Environments via Potential Fields," Sustainability, MDPI, vol. 17(4), pages 1-31, February.
    9. Amin Jan & Anas A. Salameh & Haseeb Ur Rahman & Mohanad M. Alasiri, 2024. "Can blockchain technologies enhance environmental sustainable development goals performance in manufacturing firms? Potential mediation of green supply chain management practices," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 2004-2019, March.
    10. Igor Kabashkin, 2023. "Model of Multi Criteria Decision-Making for Selection of Transportation Alternatives on the Base of Transport Needs Hierarchy Framework and Application of Petri Net," Sustainability, MDPI, vol. 15(16), pages 1-26, August.
    11. Rogelio A. Callejas-Molina & Hector Vazquez-Leal & Jesus Huerta-Chua & Uriel A. Filobello-Nino & Mario A. Sandoval-Hernandez & Rosalba Aguilar-Velazquez & Javier Diaz-Carmona, 2025. "Circuit Analysis Approach for Sustainable Routing Optimization with Multiple Delivery Points," Sustainability, MDPI, vol. 17(7), pages 1-21, March.
    12. Edgar Gutierrez-Franco & Christopher Mejia-Argueta & Luis Rabelo, 2021. "Data-Driven Methodology to Support Long-Lasting Logistics and Decision Making for Urban Last-Mile Operations," Sustainability, MDPI, vol. 13(11), pages 1-33, June.

  17. Leandro do C. Martins & Rafael D. Tordecilla & Juliana Castaneda & Angel A. Juan & Javier Faulin, 2021. "Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation," Energies, MDPI, vol. 14(16), pages 1-30, August.

    Cited by:

    1. Elnaz Ghorbani & Tristan Fluechter & Laura Calvet & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2023. "Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy," Energies, MDPI, vol. 16(3), pages 1-19, January.
    2. Maximiliano Cubillos & Mauro Dell’Amico & Ola Jabali & Federico Malucelli & Emanuele Tresoldi, 2023. "An Enhanced Path Planner for Electric Vehicles Considering User-Defined Time Windows and Preferences," Energies, MDPI, vol. 16(10), pages 1-19, May.
    3. Garside, Annisa Kesy & Ahmad, Robiah & Muhtazaruddin, Mohd Nabil Bin, 2024. "A recent review of solution approaches for green vehicle routing problem and its variants," Operations Research Perspectives, Elsevier, vol. 12(C).
    4. Raquel Soriano-Gonzalez & Elena Perez-Bernabeu & Yusef Ahsini & Patricia Carracedo & Andres Camacho & Angel A. Juan, 2023. "Analyzing Key Performance Indicators for Mobility Logistics in Smart and Sustainable Cities: A Case Study Centered on Barcelona," Logistics, MDPI, vol. 7(4), pages 1-20, October.
    5. Sónia Gouveia & Daniel H. de la Iglesia & José Luís Abrantes & Alfonso J. López Rivero & Elisabete Silva & Eduardo Gouveia & Vasco Santos, 2025. "Creating Value Through Strategic Management: Sustainable Mobility for Family-Owned Small- and Medium-Sized Enterprises with Electric Vehicles in the Digital Era," Sustainability, MDPI, vol. 17(5), pages 1-29, February.
    6. Piotr Wróblewski & Wojciech Lewicki, 2021. "A Method of Analyzing the Residual Values of Low-Emission Vehicles Based on a Selected Expert Method Taking into Account Stochastic Operational Parameters," Energies, MDPI, vol. 14(21), pages 1-24, October.
    7. Sören Lauenstein & Christoph Schank, 2022. "Design of a Sustainable Last Mile in Urban Logistics—A Systematic Literature Review," Sustainability, MDPI, vol. 14(9), pages 1-14, May.
    8. Wojciech Cieslik & Weronika Antczak, 2023. "Research of Load Impact on Energy Consumption in an Electric Delivery Vehicle Based on Real Driving Conditions: Guidance for Electrification of Light-Duty Vehicle Fleet," Energies, MDPI, vol. 16(2), pages 1-19, January.

  18. Abdullahi, Hassana & Reyes-Rubiano, Lorena & Ouelhadj, Djamila & Faulin, Javier & Juan, Angel A., 2021. "Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 292(1), pages 143-154.

    Cited by:

    1. Elnaz Ghorbani & Tristan Fluechter & Laura Calvet & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2023. "Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy," Energies, MDPI, vol. 16(3), pages 1-19, January.
    2. Dukkanci, Okan & Karsu, Özlem & Kara, Bahar Y., 2022. "Planning sustainable routes: Economic, environmental and welfare concerns," European Journal of Operational Research, Elsevier, vol. 301(1), pages 110-123.
    3. Garside, Annisa Kesy & Ahmad, Robiah & Muhtazaruddin, Mohd Nabil Bin, 2024. "A recent review of solution approaches for green vehicle routing problem and its variants," Operations Research Perspectives, Elsevier, vol. 12(C).
    4. Zhuowu Zhang & Emrah Demir & Robert Mason & Carla Cairano-Gilfedder, 2023. "Understanding freight drivers' behavior and the impact on vehicles' fuel consumption and CO2e emissions," Operational Research, Springer, vol. 23(4), pages 1-35, December.
    5. Furkan Dişkaya & Sait Erdal Dinçer, 2024. "A Sectoral Application for Green Vehicle Routing Problem Optimization with Capacity Constrained and Heterogeneous Fleet," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul Journal of Economics-Istanbul Iktisat Dergisi, vol. 0(40), pages 183-198, June.
    6. Belma Turan & Vera Hemmelmayr & Allan Larsen & Jakob Puchinger, 2024. "Transition towards sustainable mobility: the role of transport optimization," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(2), pages 435-456, June.

  19. Carlos L. Quintero-Araujo & Daniel Guimarans & Angel A. Juan, 2021. "A simheuristic algorithm for the capacitated location routing problem with stochastic demands," Journal of Simulation, Taylor & Francis Journals, vol. 15(3), pages 217-234, July.

    Cited by:

    1. Osorio-Mora, Alan & Saldanha-da-Gama, Francisco & Toth, Paolo, 2025. "A risk-averse latency location-routing problem with stochastic travel times," European Journal of Operational Research, Elsevier, vol. 321(3), pages 837-850.

  20. Julio C. Londoño & Rafael D. Tordecilla & Leandro do C. Martins & Angel A. Juan, 2021. "A biased-randomized iterated local search for the vehicle routing problem with optional backhauls," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 387-416, July.

    Cited by:

    1. David Raba & Rafael D. Tordecilla & Pedro Copado & Angel A. Juan & Daniel Mount, 2022. "A Digital Twin for Decision Making on Livestock Feeding," Interfaces, INFORMS, vol. 52(3), pages 267-282, May.

  21. Lorena Reyes-Rubiano & Laura Calvet & Angel A. Juan & Javier Faulin & Lluc Bové, 2020. "A biased-randomized variable neighborhood search for sustainable multi-depot vehicle routing problems," Journal of Heuristics, Springer, vol. 26(3), pages 401-422, June.

    Cited by:

    1. Elnaz Ghorbani & Tristan Fluechter & Laura Calvet & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2023. "Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy," Energies, MDPI, vol. 16(3), pages 1-19, January.
    2. Alice Vasconcelos Nobre & Caio Cézar Rodrigues Oliveira & Denilson Ricardo de Lucena Nunes & André Cristiano Silva Melo & Gil Eduardo Guimarães & Rosley Anholon & Vitor William Batista Martins, 2022. "Analysis of Decision Parameters for Route Plans and Their Importance for Sustainability: An Exploratory Study Using the TOPSIS Technique," Logistics, MDPI, vol. 6(2), pages 1-12, May.

  22. Noé Ortega-Sánchez & Diego Oliva & Erik Cuevas & Marco Pérez-Cisneros & Angel A. Juan, 2020. "An Evolutionary Approach to Improve the Halftoning Process," Mathematics, MDPI, vol. 8(9), pages 1-23, September.

    Cited by:

    1. Dejan G. Ćirić & Zoran H. Perić & Nikola J. Vučić & Miljan P. Miletić, 2023. "Analysis of Industrial Product Sound by Applying Image Similarity Measures," Mathematics, MDPI, vol. 11(3), pages 1-27, January.

  23. Javier Panadero & Angel A. Juan & Christopher Bayliss & Christine Currie, 2020. "Maximising reward from a team of surveillance drones: a simheuristic approach to the stochastic team orienteering problem," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 14(4), pages 485-516.

    Cited by:

    1. Elnaz Ghorbani & Tristan Fluechter & Laura Calvet & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2023. "Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy," Energies, MDPI, vol. 16(3), pages 1-19, January.
    2. Shahmanzari, Masoud & Mansini, Renata, 2024. "A learning-based granular variable neighborhood search for a multi-period election logistics problem with time-dependent profits," European Journal of Operational Research, Elsevier, vol. 319(1), pages 135-152.
    3. Shiri, Davood & Akbari, Vahid & Hassanzadeh, Ali, 2024. "The Capacitated Team Orienteering Problem: An online optimization framework with predictions of unknown accuracy," Transportation Research Part B: Methodological, Elsevier, vol. 185(C).
    4. Rocio de la Torre & Bhakti S. Onggo & Canan G. Corlu & Maria Nogal & Angel A. Juan, 2021. "The Role of Simulation and Serious Games in Teaching Concepts on Circular Economy and Sustainable Energy," Energies, MDPI, vol. 14(4), pages 1-21, February.
    5. Mohammad Peyman & Pedro J. Copado & Rafael D. Tordecilla & Leandro do C. Martins & Fatos Xhafa & Angel A. Juan, 2021. "Edge Computing and IoT Analytics for Agile Optimization in Intelligent Transportation Systems," Energies, MDPI, vol. 14(19), pages 1-26, October.
    6. Omer Ozkan & Sezgin Kilic, 2023. "UAV routing by simulation-based optimization approaches for forest fire risk mitigation," Annals of Operations Research, Springer, vol. 320(2), pages 937-973, January.
    7. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.
    8. Leandro do C. Martins & Rafael D. Tordecilla & Juliana Castaneda & Angel A. Juan & Javier Faulin, 2021. "Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation," Energies, MDPI, vol. 14(16), pages 1-30, August.
    9. Cui, Haipeng & Li, Keyu & Jia, Shuai & Meng, Qiang, 2024. "Dynamic collaborative truck-drone delivery with en-route synchronization and random requests," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
    10. Henri Meeß & Michael Herzog & Enes Alp & Bernd Kuhlenkötter, 2024. "Evolutionary algorithms for a simheuristic optimization of the product-service system design," Journal of Intelligent Manufacturing, Springer, vol. 35(7), pages 3235-3257, October.
    11. Morandi, Nicola & Leus, Roel & Yaman, Hande, 2024. "The orienteering problem with drones," Other publications TiSEM 593f31f0-7b7b-4069-84ca-8, Tilburg University, School of Economics and Management.

  24. Javier Panadero & Jana Doering & Renatas Kizys & Angel A. Juan & Angels Fito, 2020. "A variable neighborhood search simheuristic for project portfolio selection under uncertainty," Journal of Heuristics, Springer, vol. 26(3), pages 353-375, June.

    Cited by:

    1. Laura Calvet & Rocio de la Torre & Anita Goyal & Mage Marmol & Angel A. Juan, 2020. "Modern Optimization and Simulation Methods in Managerial and Business Economics: A Review," Administrative Sciences, MDPI, vol. 10(3), pages 1-23, July.
    2. Victor Abu-Marrul & Rafael Martinelli & Silvio Hamacher & Irina Gribkovskaia, 2023. "Simheuristic algorithm for a stochastic parallel machine scheduling problem with periodic re-planning assessment," Annals of Operations Research, Springer, vol. 320(2), pages 547-572, January.
    3. Christopher Bayliss & Marti Serra & Armando Nieto & Angel A. Juan, 2020. "Combining a Matheuristic with Simulation for Risk Management of Stochastic Assets and Liabilities," Risks, MDPI, vol. 8(4), pages 1-14, December.
    4. Juliana Castaneda & Xabier A. Martin & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2022. "A Fuzzy Simheuristic for the Permutation Flow Shop Problem under Stochastic and Fuzzy Uncertainty," Mathematics, MDPI, vol. 10(10), pages 1-17, May.
    5. Hassana Abdullahi & Lorena Reyes-Rubiano & Djamila Ouelhadj & Javier Faulin & Angel A. Juan, 2025. "A reliability-extended simheuristic for the sustainable vehicle routing problem with stochastic travel times and demands," Journal of Heuristics, Springer, vol. 31(2), pages 1-39, June.
    6. Ruey-Chyn Tsaur & Chien-Liang Chiu & Yin-Yin Huang, 2021. "Fuzzy Portfolio Selection in COVID-19 Spreading Period Using Fuzzy Goal Programming Model," Mathematics, MDPI, vol. 9(8), pages 1-15, April.

  25. Diego Oliva & Pedro Copado & Salvador Hinojosa & Javier Panadero & Daniel Riera & Angel A. Juan, 2020. "Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios," Mathematics, MDPI, vol. 8(12), pages 1-19, December.

    Cited by:

    1. Omer Ozkan & Sezgin Kilic, 2023. "UAV routing by simulation-based optimization approaches for forest fire risk mitigation," Annals of Operations Research, Springer, vol. 320(2), pages 937-973, January.
    2. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.
    3. Juliana Castaneda & Xabier A. Martin & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2022. "A Fuzzy Simheuristic for the Permutation Flow Shop Problem under Stochastic and Fuzzy Uncertainty," Mathematics, MDPI, vol. 10(10), pages 1-17, May.

  26. Abdelazim G. Hussien & Diego Oliva & Essam H. Houssein & Angel A. Juan & Xu Yu, 2020. "Binary Whale Optimization Algorithm for Dimensionality Reduction," Mathematics, MDPI, vol. 8(10), pages 1-24, October.

    Cited by:

    1. Shuang Wang & Abdelazim G. Hussien & Heming Jia & Laith Abualigah & Rong Zheng, 2022. "Enhanced Remora Optimization Algorithm for Solving Constrained Engineering Optimization Problems," Mathematics, MDPI, vol. 10(10), pages 1-32, May.
    2. Rong Zheng & Abdelazim G. Hussien & He-Ming Jia & Laith Abualigah & Shuang Wang & Di Wu, 2022. "An Improved Wild Horse Optimizer for Solving Optimization Problems," Mathematics, MDPI, vol. 10(8), pages 1-30, April.

  27. Canan G. Corlu & Rocio de la Torre & Adrian Serrano-Hernandez & Angel A. Juan & Javier Faulin, 2020. "Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities," Energies, MDPI, vol. 13(5), pages 1-33, March.

    Cited by:

    1. Elnaz Ghorbani & Tristan Fluechter & Laura Calvet & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2023. "Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy," Energies, MDPI, vol. 16(3), pages 1-19, January.
    2. Elmar Zozmann & Mirjam Helena Eerma & Dylan Manning & Gro Lill {O}kland & Citlali Rodriguez del Angel & Paul E. Seifert & Johanna Winkler & Alfredo Zamora Blaumann & Seyedsaeed Hosseinioun & Leonard G, 2021. "The Potential of Sufficiency Measures to Achieve a Fully Renewable Energy System -- A case study for Germany," Papers 2109.00453, arXiv.org, revised Sep 2021.
    3. Costanza Saletti & Mirko Morini & Agostino Gambarotta, 2020. "The Status of Research and Innovation on Heating and Cooling Networks as Smart Energy Systems within Horizon 2020," Energies, MDPI, vol. 13(11), pages 1-27, June.
    4. Thanapong Champahom & Chinnakrit Banyong & Thananya Janhuaton & Chamroeun Se & Fareeda Watcharamaisakul & Vatanavongs Ratanavaraha & Sajjakaj Jomnonkwao, 2025. "Deep Learning vs. Gradient Boosting: Optimizing Transport Energy Forecasts in Thailand Through LSTM and XGBoost," Energies, MDPI, vol. 18(7), pages 1-30, March.
    5. Adrian Serrano-Hernandez & Aitor Ballano & Javier Faulin, 2021. "Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities," Energies, MDPI, vol. 14(16), pages 1-17, August.
    6. Angel A. Juan & Majsa Ammouriova & Veronika Tsertsvadze & Celia Osorio & Noelia Fuster & Yusef Ahsini, 2023. "Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics," Energies, MDPI, vol. 16(20), pages 1-19, October.
    7. Rafidah Md Noor & Nadia Bella Gustiani Rasyidi & Tarak Nandy & Raenu Kolandaisamy, 2020. "Campus Shuttle Bus Route Optimization Using Machine Learning Predictive Analysis: A Case Study," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    8. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.
    9. Xing, Zongyi & Zhu, Junlin & Zhang, Zhenyu & Qin, Yong & Jia, Limin, 2022. "Energy consumption optimization of tramway operation based on improved PSO algorithm," Energy, Elsevier, vol. 258(C).
    10. Julius Brinken & Sebastian Trojahn & Fabian Behrendt, 2022. "Sufficiency, Consistency, and Efficiency as a Base for Systemizing Sustainability Measures in Food Supply Chains," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    11. Melinda Timea Fülöp & Miklós Gubán & György Kovács & Mihály Avornicului, 2021. "Economic Development Based on a Mathematical Model: An Optimal Solution Method for the Fuel Supply of International Road Transport Activity," Energies, MDPI, vol. 14(10), pages 1-22, May.
    12. Yanfei Zhu & Chunhui Li & Kwang Y. Lee, 2022. "The NR-EGA for the EVRP Problem with the Electric Energy Consumption Model," Energies, MDPI, vol. 15(10), pages 1-12, May.
    13. Nick Rigogiannis & Ioannis Bogatsis & Christos Pechlivanis & Anastasios Kyritsis & Nick Papanikolaou, 2023. "Moving towards Greener Road Transportation: A Review," Clean Technol., MDPI, vol. 5(2), pages 1-25, June.
    14. Yuanxin Peng & Zhuo Chen & Juanzhi Xu & Jay Lee, 2020. "Analysis of green total factor productivity trend and its determinants for the countries along silk roads," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1711-1726, December.
    15. Xing, Zongyi & Zhang, Zhenyu & Guo, Jian & Qin, Yong & Jia, Limin, 2023. "Rail train operation energy-saving optimization based on improved brute-force search," Applied Energy, Elsevier, vol. 330(PA).

  28. Doering, Jana & Kizys, Renatas & Juan, Angel A. & Fitó, Àngels & Polat, Onur, 2019. "Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends," Operations Research Perspectives, Elsevier, vol. 6(C).

    Cited by:

    1. Jelić, Marko & Batić, Marko & Krstić, Aleksandra & Bottarelli, Michele & Mainardi, Elena, 2023. "Comparative analysis of metaheuristic optimization approaches for multisource heat pump operation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    2. Christopher Bayliss & Marti Serra & Armando Nieto & Angel A. Juan, 2020. "Combining a Matheuristic with Simulation for Risk Management of Stochastic Assets and Liabilities," Risks, MDPI, vol. 8(4), pages 1-14, December.
    3. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.
    4. Doruk Şen & Cem Çağrı Dönmez & Umman Mahir Yıldırım, 0. "A Hybrid Bi-level Metaheuristic for Credit Scoring," Information Systems Frontiers, Springer, vol. 0, pages 1-11.
    5. Alexander Nikiporenko, 2023. "Time-limited Metaheuristics for Cardinality-constrained Portfolio Optimisation," Papers 2307.04045, arXiv.org.
    6. Doruk Şen & Cem Çağrı Dönmez & Umman Mahir Yıldırım, 2020. "A Hybrid Bi-level Metaheuristic for Credit Scoring," Information Systems Frontiers, Springer, vol. 22(5), pages 1009-1019, October.
    7. Markus Vogl, 2022. "Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019)," SN Business & Economics, Springer, vol. 2(12), pages 1-69, December.
    8. Martín Egozcue & Luis Fuentes García & Ričardas Zitikis, 2023. "The Slicing Method: Determining Insensitivity Regions of Probability Weighting Functions," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1369-1402, April.

  29. Daniele Ferone & Aljoscha Gruler & Paola Festa & Angel A. Juan, 2019. "Enhancing and extending the classical GRASP framework with biased randomisation and simulation," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(8), pages 1362-1375, August.

    Cited by:

    1. Laura Calvet & Rocio de la Torre & Anita Goyal & Mage Marmol & Angel A. Juan, 2020. "Modern Optimization and Simulation Methods in Managerial and Business Economics: A Review," Administrative Sciences, MDPI, vol. 10(3), pages 1-23, July.
    2. Julio C. Londoño & Rafael D. Tordecilla & Leandro do C. Martins & Angel A. Juan, 2021. "A biased-randomized iterated local search for the vehicle routing problem with optional backhauls," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 387-416, July.
    3. Di Puglia Pugliese, Luigi & Ferone, Daniele & Festa, Paola & Guerriero, Francesca, 2020. "Shortest path tour problem with time windows," European Journal of Operational Research, Elsevier, vol. 282(1), pages 334-344.
    4. Yagmur S. Gök & Silvia Padrón & Maurizio Tomasella & Daniel Guimarans & Cemalettin Ozturk, 2023. "Constraint-based robust planning and scheduling of airport apron operations through simheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 795-830, January.
    5. Mohammad Peyman & Pedro J. Copado & Rafael D. Tordecilla & Leandro do C. Martins & Fatos Xhafa & Angel A. Juan, 2021. "Edge Computing and IoT Analytics for Agile Optimization in Intelligent Transportation Systems," Energies, MDPI, vol. 14(19), pages 1-26, October.
    6. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.
    7. Arnau, Quim & Barrena, Eva & Panadero, Javier & de la Torre, Rocio & Juan, Angel A., 2022. "A biased-randomized discrete-event heuristic for coordinated multi-vehicle container transport across interconnected networks," European Journal of Operational Research, Elsevier, vol. 302(1), pages 348-362.

  30. Jesica Armas & Peter Keenan & Angel A. Juan & Seán McGarraghy, 2019. "Solving large-scale time capacitated arc routing problems: from real-time heuristics to metaheuristics," Annals of Operations Research, Springer, vol. 273(1), pages 135-162, February.

    Cited by:

    1. Majsa Ammouriova & Massimo Bertolini & Juliana Castaneda & Angel A. Juan & Mattia Neroni, 2022. "A Heuristic-Based Simulation for an Education Process to Learn about Optimization Applications in Logistics and Transportation," Mathematics, MDPI, vol. 10(5), pages 1-18, March.
    2. Eugenia Ama Andoh & Hao Yu, 2023. "A two-stage decision-support approach for improving sustainable last-mile cold chain logistics operations of COVID-19 vaccines," Annals of Operations Research, Springer, vol. 328(1), pages 75-105, September.
    3. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.
    4. Leandro do C. Martins & Rafael D. Tordecilla & Juliana Castaneda & Angel A. Juan & Javier Faulin, 2021. "Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation," Energies, MDPI, vol. 14(16), pages 1-30, August.
    5. Erfan Babaee Tirkolaee & Alireza Goli & Selma Gütmen & Gerhard-Wilhelm Weber & Katarzyna Szwedzka, 2023. "A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms," Annals of Operations Research, Springer, vol. 324(1), pages 189-214, May.
    6. Arnau, Quim & Barrena, Eva & Panadero, Javier & de la Torre, Rocio & Juan, Angel A., 2022. "A biased-randomized discrete-event heuristic for coordinated multi-vehicle container transport across interconnected networks," European Journal of Operational Research, Elsevier, vol. 302(1), pages 348-362.

  31. Eskandarpour, Majid & Ouelhadj, Djamila & Hatami, Sara & Juan, Angel A. & Khosravi, Banafsheh, 2019. "Enhanced multi-directional local search for the bi-objective heterogeneous vehicle routing problem with multiple driving ranges," European Journal of Operational Research, Elsevier, vol. 277(2), pages 479-491.
    See citations under working paper version above.
  32. Sergio Gonzalez-Martin & Angel A. Juan & Daniel Riera & Monica G. Elizondo & Juan J. Ramos, 2018. "A simheuristic algorithm for solving the arc routing problem with stochastic demands," Journal of Simulation, Taylor & Francis Journals, vol. 12(1), pages 53-66, January.

    Cited by:

    1. Victor Abu-Marrul & Rafael Martinelli & Silvio Hamacher & Irina Gribkovskaia, 2023. "Simheuristic algorithm for a stochastic parallel machine scheduling problem with periodic re-planning assessment," Annals of Operations Research, Springer, vol. 320(2), pages 547-572, January.
    2. Yagmur S. Gök & Silvia Padrón & Maurizio Tomasella & Daniel Guimarans & Cemalettin Ozturk, 2023. "Constraint-based robust planning and scheduling of airport apron operations through simheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 795-830, January.
    3. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.
    4. Cai, Lei & Li, Jiliu & Wang, Kai & Luo, Zhixing & Qin, Hu, 2025. "Optimal allocation and route design for station-based drone inspection of large-scale facilities," Omega, Elsevier, vol. 130(C).

  33. Aljoscha Gruler & Carlos L. Quintero-Araújo & Laura Calvet & Angel A. Juan, 2017. "Waste collection under uncertainty: a simheuristic based on variable neighbourhood search," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 11(2), pages 228-255.

    Cited by:

    1. Laura Calvet & Rocio de la Torre & Anita Goyal & Mage Marmol & Angel A. Juan, 2020. "Modern Optimization and Simulation Methods in Managerial and Business Economics: A Review," Administrative Sciences, MDPI, vol. 10(3), pages 1-23, July.
    2. Victor Abu-Marrul & Rafael Martinelli & Silvio Hamacher & Irina Gribkovskaia, 2023. "Simheuristic algorithm for a stochastic parallel machine scheduling problem with periodic re-planning assessment," Annals of Operations Research, Springer, vol. 320(2), pages 547-572, January.
    3. Mohammad Peyman & Pedro J. Copado & Rafael D. Tordecilla & Leandro do C. Martins & Fatos Xhafa & Angel A. Juan, 2021. "Edge Computing and IoT Analytics for Agile Optimization in Intelligent Transportation Systems," Energies, MDPI, vol. 14(19), pages 1-26, October.
    4. Erika M. Herrera & Javier Panadero & Patricia Carracedo & Angel A. Juan & Elena Perez-Bernabeu, 2022. "Determining Reliable Solutions for the Team Orienteering Problem with Probabilistic Delays," Mathematics, MDPI, vol. 10(20), pages 1-15, October.
    5. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.

  34. Jesica Armas & Luis Cadarso & Angel A. Juan & Javier Faulin, 2017. "A multi-start randomized heuristic for real-life crew rostering problems in airlines with work-balancing goals," Annals of Operations Research, Springer, vol. 258(2), pages 825-848, November.

    Cited by:

    1. Philippe Racette & Frédéric Quesnel & Andrea Lodi & François Soumis, 2024. "Gaining insight into crew rostering instances through ML-based sequential assignment," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(3), pages 537-578, October.
    2. Quesnel, Frédéric & Desaulniers, Guy & Soumis, François, 2020. "A branch-and-price heuristic for the crew pairing problem with language constraints," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1040-1054.
    3. Fuentes, Manuel & Cadarso, Luis & Marín, Ángel, 2019. "A hybrid model for crew scheduling in rail rapid transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 248-265.
    4. Vojtech Graf & Dusan Teichmann & Michal Dorda & Lenka Kontrikova, 2021. "Dynamic Model of Contingency Flight Crew Planning Extending to Crew Formation," Mathematics, MDPI, vol. 9(17), pages 1-28, September.

  35. Jesica Armas & Angel A. Juan & Joan M. Marquès & João Pedro Pedroso, 2017. "Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1161-1176, October.

    Cited by:

    1. Snežana Tadić & Mladen Krstić & Željko Stević & Miloš Veljović, 2023. "Locating Collection and Delivery Points Using the p -Median Location Problem," Logistics, MDPI, vol. 7(1), pages 1-17, February.
    2. Rabbani, M. & Heidari, R. & Yazdanparast, R., 2019. "A stochastic multi-period industrial hazardous waste location-routing problem: Integrating NSGA-II and Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 272(3), pages 945-961.
    3. Juan F. Gomez & Javier Panadero & Rafael D. Tordecilla & Juliana Castaneda & Angel A. Juan, 2022. "A Multi-Start Biased-Randomized Algorithm for the Capacitated Dispersion Problem," Mathematics, MDPI, vol. 10(14), pages 1-20, July.
    4. Yagmur S. Gök & Silvia Padrón & Maurizio Tomasella & Daniel Guimarans & Cemalettin Ozturk, 2023. "Constraint-based robust planning and scheduling of airport apron operations through simheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 795-830, January.
    5. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.
    6. Markus Rabe & Jorge Chicaiza-Vaca & Jesus Gonzalez-Feliu, 2020. "Concept for a simulation-optimization procedure model for automated parcel lockers as a last-mile delivery scheme: a case study in the city of Dortmund," Post-Print halshs-04374962, HAL.
    7. Hassana Abdullahi & Lorena Reyes-Rubiano & Djamila Ouelhadj & Javier Faulin & Angel A. Juan, 2025. "A reliability-extended simheuristic for the sustainable vehicle routing problem with stochastic travel times and demands," Journal of Heuristics, Springer, vol. 31(2), pages 1-39, June.
    8. Adil Baykasoğlu & Fehmi Burcin Ozsoydan & M. Emre Senol, 2020. "Weighted superposition attraction algorithm for binary optimization problems," Operational Research, Springer, vol. 20(4), pages 2555-2581, December.
    9. Gabriel Mauricio Zambrano-Rey & Eliana María González-Neira & Gabriel Fernando Forero-Ortiz & María José Ocampo-Monsalve & Andrea Rivera-Torres, 2024. "Minimizing the expected maximum lateness for a job shop subject to stochastic machine breakdowns," Annals of Operations Research, Springer, vol. 338(1), pages 801-833, July.

  36. A Gruler & C Fikar & A A Juan & P Hirsch & C Contreras-Bolton, 2017. "Supporting multi-depot and stochastic waste collection management in clustered urban areas via simulation–optimization," Journal of Simulation, Taylor & Francis Journals, vol. 11(1), pages 11-19, February.

    Cited by:

    1. Christina Hess & Alina G. Dragomir & Karl F. Doerner & Daniele Vigo, 2024. "Waste collection routing: a survey on problems and methods," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(2), pages 399-434, June.
    2. Lavigne, Carolien & Inghels, Dirk & Dullaert, Wout & Dewil, Reginald, 2023. "A memetic algorithm for solving rich waste collection problems," European Journal of Operational Research, Elsevier, vol. 308(2), pages 581-604.
    3. Hassana Abdullahi & Lorena Reyes-Rubiano & Djamila Ouelhadj & Javier Faulin & Angel A. Juan, 2025. "A reliability-extended simheuristic for the sustainable vehicle routing problem with stochastic travel times and demands," Journal of Heuristics, Springer, vol. 31(2), pages 1-39, June.

  37. Martin, Simon & Ouelhadj, Djamila & Beullens, Patrick & Ozcan, Ender & Juan, Angel A. & Burke, Edmund K., 2016. "A multi-agent based cooperative approach to scheduling and routing," European Journal of Operational Research, Elsevier, vol. 254(1), pages 169-178.

    Cited by:

    1. Sana Sahar Guia & Abdelkader Laouid & Mohammad Hammoudeh & Ahcène Bounceur & Mai Alfawair & Amna Eleyan, 2022. "Co-Simulation of Multiple Vehicle Routing Problem Models," Future Internet, MDPI, vol. 14(5), pages 1-16, April.
    2. José García & Paola Moraga & Matias Valenzuela & Hernan Pinto, 2020. "A db-Scan Hybrid Algorithm: An Application to the Multidimensional Knapsack Problem," Mathematics, MDPI, vol. 8(4), pages 1-22, April.
    3. José García & Victor Yepes & José V. Martí, 2020. "A Hybrid k-Means Cuckoo Search Algorithm Applied to the Counterfort Retaining Walls Problem," Mathematics, MDPI, vol. 8(4), pages 1-22, April.
    4. Selin Çabuk & Rızvan Erol, 2024. "Solving Dynamic Full-Truckload Vehicle Routing Problem Using an Agent-Based Approach," Mathematics, MDPI, vol. 12(13), pages 1-21, July.
    5. José García & José V. Martí & Víctor Yepes, 2020. "The Buttressed Walls Problem: An Application of a Hybrid Clustering Particle Swarm Optimization Algorithm," Mathematics, MDPI, vol. 8(6), pages 1-22, May.
    6. Karimi-Mamaghan, Maryam & Mohammadi, Mehrdad & Meyer, Patrick & Karimi-Mamaghan, Amir Mohammad & Talbi, El-Ghazali, 2022. "Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art," European Journal of Operational Research, Elsevier, vol. 296(2), pages 393-422.
    7. Swan, Jerry & Adriaensen, Steven & Brownlee, Alexander E.I. & Hammond, Kevin & Johnson, Colin G. & Kheiri, Ahmed & Krawiec, Faustyna & Merelo, J.J. & Minku, Leandro L. & Özcan, Ender & Pappa, Gisele L, 2022. "Metaheuristics “In the Large”," European Journal of Operational Research, Elsevier, vol. 297(2), pages 393-406.
    8. Nasr Al-Hinai & Chefi Triki, 2020. "A two-level evolutionary algorithm for solving the petrol station replenishment problem with periodicity constraints and service choice," Annals of Operations Research, Springer, vol. 286(1), pages 325-350, March.
    9. Li, Feng & Du, Timon C. & Wei, Ying, 2020. "Enhancing supply chain decisions with consumers’ behavioral factors: An illustration of decoy effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    10. Yan, Yimo & Chow, Andy H.F. & Ho, Chin Pang & Kuo, Yong-Hong & Wu, Qihao & Ying, Chengshuo, 2022. "Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).

  38. Oscar Dominguez & Angel A. Juan & Barry Barrios & Javier Faulin & Alba Agustin, 2016. "Using biased randomization for solving the two-dimensional loading vehicle routing problem with heterogeneous fleet," Annals of Operations Research, Springer, vol. 236(2), pages 383-404, January.

    Cited by:

    1. Xiang Song & Dylan Jones & Nasrin Asgari & Tim Pigden, 2020. "Multi-objective vehicle routing and loading with time window constraints: a real-life application," Annals of Operations Research, Springer, vol. 291(1), pages 799-825, August.
    2. Zhang, Xiangyi & Chen, Lu & Gendreau, Michel & Langevin, André, 2022. "A branch-and-cut algorithm for the vehicle routing problem with two-dimensional loading constraints," European Journal of Operational Research, Elsevier, vol. 302(1), pages 259-269.
    3. Puca Huachi Vaz Penna & Anand Subramanian & Luiz Satoru Ochi & Thibaut Vidal & Christian Prins, 2019. "A hybrid heuristic for a broad class of vehicle routing problems with heterogeneous fleet," Annals of Operations Research, Springer, vol. 273(1), pages 5-74, February.
    4. Côté, J.F. & Guastaroba, G. & Speranza, M.G., 2017. "The value of integrating loading and routing," European Journal of Operational Research, Elsevier, vol. 257(1), pages 89-105.
    5. Wei, Lijun & Zhang, Zhenzhen & Zhang, Defu & Leung, Stephen C.H., 2018. "A simulated annealing algorithm for the capacitated vehicle routing problem with two-dimensional loading constraints," European Journal of Operational Research, Elsevier, vol. 265(3), pages 843-859.
    6. Jesica Armas & Angel A. Juan & Joan M. Marquès & João Pedro Pedroso, 2017. "Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1161-1176, October.
    7. Yücel, Eda & Salman, F. Sibel & Erdoğan, Güneş, 2022. "Optimizing two-dimensional vehicle loading and dispatching decisions in freight logistics," European Journal of Operational Research, Elsevier, vol. 302(3), pages 954-969.
    8. Carlos A. Vega-Mejía & Jairo R. Montoya-Torres & Sardar M. N. Islam, 2019. "Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review," Annals of Operations Research, Springer, vol. 273(1), pages 311-375, February.
    9. Jean-François Côté & Michel Gendreau & Jean-Yves Potvin, 2020. "The Vehicle Routing Problem with Stochastic Two-Dimensional Items," Transportation Science, INFORMS, vol. 54(2), pages 453-469, March.
    10. Mahdi Alinaghian & Komail Zamanlou & Mohammad S. Sabbagh, 2017. "A bi-objective mathematical model for two-dimensional loading time-dependent vehicle routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1422-1441, November.
    11. Ji, Bin & Zhang, Zheng & Yu, Samson S. & Zhou, Saiqi & Wu, Guohua, 2023. "Modelling and heuristically solving many-to-many heterogeneous vehicle routing problem with cross-docking and two-dimensional loading constraints," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1219-1235.
    12. Ozgur Kabadurmus & Mehmet S. Erdogan, 2023. "A green vehicle routing problem with multi-depot, multi-tour, heterogeneous fleet and split deliveries: a mathematical model and heuristic approach," Journal of Combinatorial Optimization, Springer, vol. 45(3), pages 1-29, April.
    13. Lorena Reyes-Rubiano & Laura Calvet & Angel A. Juan & Javier Faulin & Lluc Bové, 2020. "A biased-randomized variable neighborhood search for sustainable multi-depot vehicle routing problems," Journal of Heuristics, Springer, vol. 26(3), pages 401-422, June.

  39. Dominguez, Oscar & Guimarans, Daniel & Juan, Angel A. & de la Nuez, Ignacio, 2016. "A Biased-Randomised Large Neighbourhood Search for the two-dimensional Vehicle Routing Problem with Backhauls," European Journal of Operational Research, Elsevier, vol. 255(2), pages 442-462.

    Cited by:

    1. Zhang, Xiangyi & Chen, Lu & Gendreau, Michel & Langevin, André, 2022. "A branch-and-cut algorithm for the vehicle routing problem with two-dimensional loading constraints," European Journal of Operational Research, Elsevier, vol. 302(1), pages 259-269.
    2. Marques, Alexandra & Soares, Ricardo & Santos, Maria João & Amorim, Pedro, 2020. "Integrated planning of inbound and outbound logistics with a Rich Vehicle Routing Problem with backhauls," Omega, Elsevier, vol. 92(C).
    3. Julio C. Londoño & Rafael D. Tordecilla & Leandro do C. Martins & Angel A. Juan, 2021. "A biased-randomized iterated local search for the vehicle routing problem with optional backhauls," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 387-416, July.
    4. Maria João Santos & Pedro Amorim & Alexandra Marques & Ana Carvalho & Ana Póvoa, 2020. "The vehicle routing problem with backhauls towards a sustainability perspective: a review," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(2), pages 358-401, July.
    5. Carlos A. Vega-Mejía & Jairo R. Montoya-Torres & Sardar M. N. Islam, 2019. "Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review," Annals of Operations Research, Springer, vol. 273(1), pages 311-375, February.
    6. Zheng Zhang & Bin Ji & Samson S. Yu, 2023. "An Adaptive Tabu Search Algorithm for Solving the Two-Dimensional Loading Constrained Vehicle Routing Problem with Stochastic Customers," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    7. Santos, Maria João & Curcio, Eduardo & Mulati, Mauro Henrique & Amorim, Pedro & Miyazawa, Flávio Keidi, 2020. "A robust optimization approach for the vehicle routing problem with selective backhauls," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).

  40. Alex Grasas & Angel A Juan & Helena R Lourenço, 2016. "SimILS: a simulation-based extension of the iterated local search metaheuristic for stochastic combinatorial optimization," Journal of Simulation, Taylor & Francis Journals, vol. 10(1), pages 69-77, February.

    Cited by:

    1. Victor Abu-Marrul & Rafael Martinelli & Silvio Hamacher & Irina Gribkovskaia, 2023. "Simheuristic algorithm for a stochastic parallel machine scheduling problem with periodic re-planning assessment," Annals of Operations Research, Springer, vol. 320(2), pages 547-572, January.
    2. Yagmur S. Gök & Silvia Padrón & Maurizio Tomasella & Daniel Guimarans & Cemalettin Ozturk, 2023. "Constraint-based robust planning and scheduling of airport apron operations through simheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 795-830, January.
    3. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.

  41. Christian Fikar & Angel A. Juan & Enoc Martinez & Patrick Hirsch, 2016. "A discrete-event driven metaheuristic for dynamic home service routing with synchronised trip sharing," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(3), pages 323-340.

    Cited by:

    1. Laura Calvet & Rocio de la Torre & Anita Goyal & Mage Marmol & Angel A. Juan, 2020. "Modern Optimization and Simulation Methods in Managerial and Business Economics: A Review," Administrative Sciences, MDPI, vol. 10(3), pages 1-23, July.
    2. Christian Fikar & Patrick Hirsch, 2018. "Evaluation of trip and car sharing concepts for home health care services," Flexible Services and Manufacturing Journal, Springer, vol. 30(1), pages 78-97, June.
    3. Yadav, Niteesh & Tanksale, Ajinkya, 2022. "An integrated routing and scheduling problem for home healthcare delivery with limited person-to-person contact," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1100-1125.
    4. Rocio de la Torre & Canan G. Corlu & Javier Faulin & Bhakti S. Onggo & Angel A. Juan, 2021. "Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications," Sustainability, MDPI, vol. 13(3), pages 1-21, February.
    5. Gang Du & Luyao Zheng & Xiaoling Ouyang, 2019. "Real-time scheduling optimization considering the unexpected events in home health care," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 196-220, January.
    6. Rocio de la Torre & Bhakti S. Onggo & Canan G. Corlu & Maria Nogal & Angel A. Juan, 2021. "The Role of Simulation and Serious Games in Teaching Concepts on Circular Economy and Sustainable Energy," Energies, MDPI, vol. 14(4), pages 1-21, February.
    7. Malek Masmoudi & Jalel Euchi & Patrick Siarry, 2024. "Home healthcare routing and scheduling: operations research approaches and contemporary challenges," Annals of Operations Research, Springer, vol. 343(2), pages 701-751, December.
    8. Amir M. Fathollahi-Fard & Abbas Ahmadi & Behrooz Karimi, 2021. "Multi-Objective Optimization of Home Healthcare with Working-Time Balancing and Care Continuity," Sustainability, MDPI, vol. 13(22), pages 1-33, November.
    9. Soares, Ricardo & Marques, Alexandra & Amorim, Pedro & Parragh, Sophie N., 2024. "Synchronisation in vehicle routing: Classification schema, modelling framework and literature review," European Journal of Operational Research, Elsevier, vol. 313(3), pages 817-840.
    10. Mohammad Peyman & Pedro J. Copado & Rafael D. Tordecilla & Leandro do C. Martins & Fatos Xhafa & Angel A. Juan, 2021. "Edge Computing and IoT Analytics for Agile Optimization in Intelligent Transportation Systems," Energies, MDPI, vol. 14(19), pages 1-26, October.
    11. Jalel Euchi & Malek Masmoudi & Patrick Siarry, 2022. "Home health care routing and scheduling problems: a literature review," 4OR, Springer, vol. 20(3), pages 351-389, September.
    12. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.
    13. Canan G. Corlu & Rocio de la Torre & Adrian Serrano-Hernandez & Angel A. Juan & Javier Faulin, 2020. "Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities," Energies, MDPI, vol. 13(5), pages 1-33, March.
    14. Arnau, Quim & Barrena, Eva & Panadero, Javier & de la Torre, Rocio & Juan, Angel A., 2022. "A biased-randomized discrete-event heuristic for coordinated multi-vehicle container transport across interconnected networks," European Journal of Operational Research, Elsevier, vol. 302(1), pages 348-362.

  42. Juan, Angel A. & Faulin, Javier & Grasman, Scott E. & Rabe, Markus & Figueira, Gonçalo, 2015. "A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems," Operations Research Perspectives, Elsevier, vol. 2(C), pages 62-72.

    Cited by:

    1. Noordhoek, Marije & Dullaert, Wout & Lai, David S.W. & de Leeuw, Sander, 2018. "A simulation–optimization approach for a service-constrained multi-echelon distribution network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 292-311.
    2. Andrés Martínez-Reyes & Carlos L. Quintero-Araújo & Elyn L. Solano-Charris, 2021. "Supplying Personal Protective Equipment to Intensive Care Units during the COVID-19 Outbreak in Colombia. A Simheuristic Approach Based on the Location-Routing Problem," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    3. Mohamed Hussein & Abdelrahman E. E. Eltoukhy & Amos Darko & Amr Eltawil, 2021. "Simulation-Optimization for the Planning of Off-Site Construction Projects: A Comparative Study of Recent Swarm Intelligence Metaheuristics," Sustainability, MDPI, vol. 13(24), pages 1-41, December.
    4. Sara Al-Haidous & Tareq Al-Ansari, 2019. "Sustainable Liquefied Natural Gas Supply Chain Management: A Review of Quantitative Models," Sustainability, MDPI, vol. 12(1), pages 1-23, December.
    5. Victor Abu-Marrul & Rafael Martinelli & Silvio Hamacher & Irina Gribkovskaia, 2023. "Simheuristic algorithm for a stochastic parallel machine scheduling problem with periodic re-planning assessment," Annals of Operations Research, Springer, vol. 320(2), pages 547-572, January.
    6. José García & Paola Moraga & Matias Valenzuela & Hernan Pinto, 2020. "A db-Scan Hybrid Algorithm: An Application to the Multidimensional Knapsack Problem," Mathematics, MDPI, vol. 8(4), pages 1-22, April.
    7. Poorya Ghafoorpoor Yazdi & Aydin Azizi & Majid Hashemipour, 2019. "A Hybrid Methodology for Validation of Optimization Solutions Effects on Manufacturing Sustainability with Time Study and Simulation Approach for SMEs," Sustainability, MDPI, vol. 11(5), pages 1-26, March.
    8. Rabbani, M. & Heidari, R. & Yazdanparast, R., 2019. "A stochastic multi-period industrial hazardous waste location-routing problem: Integrating NSGA-II and Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 272(3), pages 945-961.
    9. Maria Acuna & Carlos Silva & Andrés Tocaruncho & Diana Vargas & Diego Patiño & David Barrera & Johan Peña, 2021. "Operational Planning of Energy for Non-Interconnected Zones: A Simulation-Optimization Approach and a Case Study to Tackle Energy Poverty in Colombia," Energies, MDPI, vol. 14(10), pages 1-16, May.
    10. Manuel Chica & Joaquín Bautista & Jesica de Armas, 2019. "Benefits of robust multiobjective optimization for flexible automotive assembly line balancing," Flexible Services and Manufacturing Journal, Springer, vol. 31(1), pages 75-103, March.
    11. Kennette M. Arboiz & Sotero O. Malayao Jr., 2024. "A Simulation-based Guided Inquiry Laboratory Package in Teaching Mirrors and Lenses for Grade 10 Learners," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(6), pages 2558-2567, June.
    12. Osorio-Mora, Alan & Saldanha-da-Gama, Francisco & Toth, Paolo, 2025. "A risk-averse latency location-routing problem with stochastic travel times," European Journal of Operational Research, Elsevier, vol. 321(3), pages 837-850.
    13. José García & Victor Yepes & José V. Martí, 2020. "A Hybrid k-Means Cuckoo Search Algorithm Applied to the Counterfort Retaining Walls Problem," Mathematics, MDPI, vol. 8(4), pages 1-22, April.
    14. José Lemus-Romani & Marcelo Becerra-Rozas & Broderick Crawford & Ricardo Soto & Felipe Cisternas-Caneo & Emanuel Vega & Mauricio Castillo & Diego Tapia & Gino Astorga & Wenceslao Palma & Carlos Castro, 2021. "A Novel Learning-Based Binarization Scheme Selector for Swarm Algorithms Solving Combinatorial Problems," Mathematics, MDPI, vol. 9(22), pages 1-41, November.
    15. José García & José V. Martí & Víctor Yepes, 2020. "The Buttressed Walls Problem: An Application of a Hybrid Clustering Particle Swarm Optimization Algorithm," Mathematics, MDPI, vol. 8(6), pages 1-22, May.
    16. José García & Gino Astorga & Víctor Yepes, 2021. "An Analysis of a KNN Perturbation Operator: An Application to the Binarization of Continuous Metaheuristics," Mathematics, MDPI, vol. 9(3), pages 1-20, January.
    17. Garside, Annisa Kesy & Ahmad, Robiah & Muhtazaruddin, Mohd Nabil Bin, 2024. "A recent review of solution approaches for green vehicle routing problem and its variants," Operations Research Perspectives, Elsevier, vol. 12(C).
    18. Yagmur S. Gök & Silvia Padrón & Maurizio Tomasella & Daniel Guimarans & Cemalettin Ozturk, 2023. "Constraint-based robust planning and scheduling of airport apron operations through simheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 795-830, January.
    19. Chiang, Nai-Yuan & Lin, Yiqing & Long, Quan, 2020. "Efficient propagation of uncertainties in manufacturing supply chains: Time buckets, L-leap, and multilevel Monte Carlo methods," Operations Research Perspectives, Elsevier, vol. 7(C).
    20. Doering, Jana & Kizys, Renatas & Juan, Angel A. & Fitó, Àngels & Polat, Onur, 2019. "Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends," Operations Research Perspectives, Elsevier, vol. 6(C).
    21. Ruddy Guerrero & Adrian Serrano-Hernandez & Jose Pascual & Javier Faulin, 2022. "Simulation Model for Wire Harness Design in the Car Production Line Optimization Using the SimPy Library," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    22. Wang, Jianzhou & Dong, Yunxuan & Zhang, Kequan & Guo, Zhenhai, 2017. "A numerical model based on prior distribution fuzzy inference and neural networks," Renewable Energy, Elsevier, vol. 112(C), pages 486-497.
    23. Felix Grumbach & Anna Müller & Pascal Reusch & Sebastian Trojahn, 2024. "Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning," Journal of Intelligent Manufacturing, Springer, vol. 35(2), pages 667-686, February.
    24. Ashutosh Singh & Shashank Gupta & Mohammad Asjad & Piyush Gupta, 2017. "Reconfigurable manufacturing systems: journey and the road ahead," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1849-1857, November.
    25. Mohammad Peyman & Pedro J. Copado & Rafael D. Tordecilla & Leandro do C. Martins & Fatos Xhafa & Angel A. Juan, 2021. "Edge Computing and IoT Analytics for Agile Optimization in Intelligent Transportation Systems," Energies, MDPI, vol. 14(19), pages 1-26, October.
    26. Diglio, Antonio & Peiró, Juanjo & Piccolo, Carmela & Saldanha-da-Gama, Francisco, 2021. "Solutions for districting problems with chance-constrained balancing requirements," Omega, Elsevier, vol. 103(C).
    27. Omer Ozkan & Sezgin Kilic, 2023. "UAV routing by simulation-based optimization approaches for forest fire risk mitigation," Annals of Operations Research, Springer, vol. 320(2), pages 937-973, January.
    28. Lehner, Roland, 2023. "Cross-Supply Chain Collaboration Platform for Pallet Management," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138753, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    29. Diglio, Antonio & Peiró, Juanjo & Piccolo, Carmela & Saldanha-da-Gama, Francisco, 2023. "Approximation schemes for districting problems with probabilistic constraints," European Journal of Operational Research, Elsevier, vol. 307(1), pages 233-248.
    30. Jesica Armas & Angel A. Juan & Joan M. Marquès & João Pedro Pedroso, 2017. "Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1161-1176, October.
    31. Romauch, Martin & Hartl, Richard F., 2017. "Capacity planning for cluster tools in the semiconductor industry," International Journal of Production Economics, Elsevier, vol. 194(C), pages 167-180.
    32. Anika Pomes & Antonio Diglio & Stefan Nickel & Francisco Saldanha-da-Gama, 2025. "Multi-stage stochastic districting: optimization models and solution algorithms," Annals of Operations Research, Springer, vol. 346(3), pages 2225-2251, March.
    33. Bayliss, Christopher & Currie, Christine S.M. & Bennell, Julia A. & Martinez-Sykora, Antonio, 2019. "Dynamic pricing for vehicle ferries: Using packing and simulation to optimize revenues," European Journal of Operational Research, Elsevier, vol. 273(1), pages 288-304.
    34. Hassana Abdullahi & Lorena Reyes-Rubiano & Djamila Ouelhadj & Javier Faulin & Angel A. Juan, 2025. "A reliability-extended simheuristic for the sustainable vehicle routing problem with stochastic travel times and demands," Journal of Heuristics, Springer, vol. 31(2), pages 1-39, June.
    35. Henri Meeß & Michael Herzog & Enes Alp & Bernd Kuhlenkötter, 2024. "Evolutionary algorithms for a simheuristic optimization of the product-service system design," Journal of Intelligent Manufacturing, Springer, vol. 35(7), pages 3235-3257, October.
    36. David Schmaranzer & Roland Braune & Karl F. Doerner, 2020. "Population-based simulation optimization for urban mass rapid transit networks," Flexible Services and Manufacturing Journal, Springer, vol. 32(4), pages 767-805, December.
    37. Canan G. Corlu & Rocio de la Torre & Adrian Serrano-Hernandez & Angel A. Juan & Javier Faulin, 2020. "Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities," Energies, MDPI, vol. 13(5), pages 1-33, March.
    38. Cheng-Ta Yeh & Louis Cheng-Lu Yeng & Yi-Kuei Lin & Yu-Lun Chao, 2024. "A hybrid method to solve reliability-cost-oriented bi-objective machine configuration problem for a flow shop system," Annals of Operations Research, Springer, vol. 340(1), pages 643-669, September.
    39. David Schmaranzer & Roland Braune & Karl F. Doerner, 2021. "Multi-objective simulation optimization for complex urban mass rapid transit systems," Annals of Operations Research, Springer, vol. 305(1), pages 449-486, October.
    40. Gabriel Mauricio Zambrano-Rey & Eliana María González-Neira & Gabriel Fernando Forero-Ortiz & María José Ocampo-Monsalve & Andrea Rivera-Torres, 2024. "Minimizing the expected maximum lateness for a job shop subject to stochastic machine breakdowns," Annals of Operations Research, Springer, vol. 338(1), pages 801-833, July.
    41. Javad Seif & Mohammad Dehghanimohammadabadi & Andrew Junfang Yu, 2020. "Integrated preventive maintenance and flow shop scheduling under uncertainty," Flexible Services and Manufacturing Journal, Springer, vol. 32(4), pages 852-887, December.
    42. Louis Anthony Cox, 2020. "Answerable and Unanswerable Questions in Risk Analysis with Open‐World Novelty," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2144-2177, November.
    43. Martin Masek & Chiou Peng Lam & Luke Kelly & Martin Wong, 2023. "Discovering optimal strategy in tactical combat scenarios through the evolution of behaviour trees," Annals of Operations Research, Springer, vol. 320(2), pages 901-936, January.
    44. Lam, Chiou-Peng & Masek, Martin & Kelly, Luke & Papasimeon, Michael & Benke, Lyndon, 2019. "A simheuristic approach for evolving agent behaviour in the exploration for novel combat tactics," Operations Research Perspectives, Elsevier, vol. 6(C).
    45. Christian Fikar & Angel A. Juan & Enoc Martinez & Patrick Hirsch, 2016. "A discrete-event driven metaheuristic for dynamic home service routing with synchronised trip sharing," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(3), pages 323-340.
    46. Fernando A. Morales & Jairo A. Martínez, 2020. "Analysis of Divide-and-Conquer strategies for the 0–1 minimization knapsack problem," Journal of Combinatorial Optimization, Springer, vol. 40(1), pages 234-278, July.
    47. Elisa Negri & Vibhor Pandhare & Laura Cattaneo & Jaskaran Singh & Marco Macchi & Jay Lee, 2021. "Field-synchronized Digital Twin framework for production scheduling with uncertainty," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1207-1228, April.
    48. Roland Braune & Walter J. Gutjahr & Petra Vogl, 2022. "Stochastic radiotherapy appointment scheduling," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1239-1277, December.

  43. Angel Juan & Javier Faulin & Josep Jorba & Jose Caceres & Joan Marquès, 2013. "Using parallel & distributed computing for real-time solving of vehicle routing problems with stochastic demands," Annals of Operations Research, Springer, vol. 207(1), pages 43-65, August.

    Cited by:

    1. Jesica Armas & Peter Keenan & Angel A. Juan & Seán McGarraghy, 2019. "Solving large-scale time capacitated arc routing problems: from real-time heuristics to metaheuristics," Annals of Operations Research, Springer, vol. 273(1), pages 135-162, February.
    2. Mohammed Bazirha & Abdeslam Kadrani & Rachid Benmansour, 2023. "Stochastic home health care routing and scheduling problem with multiple synchronized services," Annals of Operations Research, Springer, vol. 320(2), pages 573-601, January.
    3. Luo, Zhixing & Qin, Hu & Zhang, Dezhi & Lim, Andrew, 2016. "Adaptive large neighborhood search heuristics for the vehicle routing problem with stochastic demands and weight-related cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 69-89.
    4. Doering, Jana & Kizys, Renatas & Juan, Angel A. & Fitó, Àngels & Polat, Onur, 2019. "Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends," Operations Research Perspectives, Elsevier, vol. 6(C).
    5. Zhaoxia Guo & Stein W. Wallace & Michal Kaut, 2019. "Vehicle Routing with Space- and Time-Correlated Stochastic Travel Times: Evaluating the Objective Function," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 654-670, October.
    6. Angel A. Juan & Peter Keenan & Rafael Martí & Seán McGarraghy & Javier Panadero & Paula Carroll & Diego Oliva, 2023. "A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 831-861, January.
    7. Juan, Angel A. & Faulin, Javier & Grasman, Scott E. & Rabe, Markus & Figueira, Gonçalo, 2015. "A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems," Operations Research Perspectives, Elsevier, vol. 2(C), pages 62-72.
    8. Huber, Sandra & Geiger, Martin Josef, 2017. "Order matters – A Variable Neighborhood Search for the Swap-Body Vehicle Routing Problem," European Journal of Operational Research, Elsevier, vol. 263(2), pages 419-445.
    9. Schryen, Guido, 2020. "Parallel computational optimization in operations research: A new integrative framework, literature review and research directions," European Journal of Operational Research, Elsevier, vol. 287(1), pages 1-18.

  44. Angel Juan & Javier Faulin & Albert Ferrer & Helena Lourenço & Barry Barrios, 2013. "MIRHA: multi-start biased randomization of heuristics with adaptive local search for solving non-smooth routing problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(1), pages 109-132, April.

    Cited by:

    1. Jian Li & Yang Li & Panos M. Pardalos, 2016. "Multi-depot vehicle routing problem with time windows under shared depot resources," Journal of Combinatorial Optimization, Springer, vol. 31(2), pages 515-532, February.
    2. Oscar Dominguez & Angel A. Juan & Barry Barrios & Javier Faulin & Alba Agustin, 2016. "Using biased randomization for solving the two-dimensional loading vehicle routing problem with heterogeneous fleet," Annals of Operations Research, Springer, vol. 236(2), pages 383-404, January.
    3. Christian Fikar & Patrick Hirsch, 2018. "Evaluation of trip and car sharing concepts for home health care services," Flexible Services and Manufacturing Journal, Springer, vol. 30(1), pages 78-97, June.
    4. Juan F. Gomez & Javier Panadero & Rafael D. Tordecilla & Juliana Castaneda & Angel A. Juan, 2022. "A Multi-Start Biased-Randomized Algorithm for the Capacitated Dispersion Problem," Mathematics, MDPI, vol. 10(14), pages 1-20, July.
    5. Philippe Racette & Frédéric Quesnel & Andrea Lodi & François Soumis, 2024. "Gaining insight into crew rostering instances through ML-based sequential assignment," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(3), pages 537-578, October.
    6. Javier Panadero & Jana Doering & Renatas Kizys & Angel A. Juan & Angels Fito, 2020. "A variable neighborhood search simheuristic for project portfolio selection under uncertainty," Journal of Heuristics, Springer, vol. 26(3), pages 353-375, June.
    7. Jesica Armas & Luis Cadarso & Angel A. Juan & Javier Faulin, 2017. "A multi-start randomized heuristic for real-life crew rostering problems in airlines with work-balancing goals," Annals of Operations Research, Springer, vol. 258(2), pages 825-848, November.
    8. Alejandro Estrada-Moreno & Albert Ferrer & Angel A. Juan & Javier Panadero & Adil Bagirov, 2020. "The Non-Smooth and Bi-Objective Team Orienteering Problem with Soft Constraints," Mathematics, MDPI, vol. 8(9), pages 1-16, September.
    9. Eskandarpour, Majid & Ouelhadj, Djamila & Hatami, Sara & Juan, Angel A. & Khosravi, Banafsheh, 2019. "Enhanced multi-directional local search for the bi-objective heterogeneous vehicle routing problem with multiple driving ranges," European Journal of Operational Research, Elsevier, vol. 277(2), pages 479-491.
    10. Christian Fikar & Angel A. Juan & Enoc Martinez & Patrick Hirsch, 2016. "A discrete-event driven metaheuristic for dynamic home service routing with synchronised trip sharing," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(3), pages 323-340.
    11. Arnau, Quim & Barrena, Eva & Panadero, Javier & de la Torre, Rocio & Juan, Angel A., 2022. "A biased-randomized discrete-event heuristic for coordinated multi-vehicle container transport across interconnected networks," European Journal of Operational Research, Elsevier, vol. 302(1), pages 348-362.
    12. Lorena Reyes-Rubiano & Laura Calvet & Angel A. Juan & Javier Faulin & Lluc Bové, 2020. "A biased-randomized variable neighborhood search for sustainable multi-depot vehicle routing problems," Journal of Heuristics, Springer, vol. 26(3), pages 401-422, June.

  45. Javier Faulin & Esteban de Paz & Fernando Lera-López & Ángel A. Juan & Israel Gil-Ramírez, 2013. "Practice Summaries: Distribution Companies Use the Analytical Hierarchy Process for Environmental Assessment of Transportation Routes Crossing the Pyrenees in Navarre, Spain," Interfaces, INFORMS, vol. 43(3), pages 285-287, May-June.

    Cited by:

    1. Adrian Serrano-Hernandez & Aitor Ballano & Javier Faulin, 2021. "Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities," Energies, MDPI, vol. 14(16), pages 1-17, August.
    2. Ali Majidi & Seyed M. J. Mirzapour Al-e-Hashem & Sarfaraz Hashemkhani Zolfani, 2021. "Sustainability Ranking of the Iranian Major Ports by Using MCDM Methods," Mathematics, MDPI, vol. 9(19), pages 1-20, October.

  46. Javier Faulin & Fernando Lera-López & Angel A. Juan, 2011. "Optimizing Routes with Safety and Environmental Criteria in Transportation Management in Spain: A Case Study," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 4(3), pages 38-59, July.

    Cited by:

    1. Michael Schneider & Andreas Stenger & Dominik Goeke, 2014. "The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations," Transportation Science, INFORMS, vol. 48(4), pages 500-520, November.
    2. Ramos, Tânia Rodrigues Pereira & Gomes, Maria Isabel & Barbosa-Póvoa, Ana Paula, 2014. "Planning a sustainable reverse logistics system: Balancing costs with environmental and social concerns," Omega, Elsevier, vol. 48(C), pages 60-74.

  47. A A Juan & J Faulin & J Jorba & D Riera & D Masip & B Barrios, 2011. "On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1085-1097, June.

    Cited by:

    1. Oscar Dominguez & Angel A. Juan & Barry Barrios & Javier Faulin & Alba Agustin, 2016. "Using biased randomization for solving the two-dimensional loading vehicle routing problem with heterogeneous fleet," Annals of Operations Research, Springer, vol. 236(2), pages 383-404, January.
    2. David Raba & Rafael D. Tordecilla & Pedro Copado & Angel A. Juan & Daniel Mount, 2022. "A Digital Twin for Decision Making on Livestock Feeding," Interfaces, INFORMS, vol. 52(3), pages 267-282, May.
    3. Rabbani, M. & Heidari, R. & Yazdanparast, R., 2019. "A stochastic multi-period industrial hazardous waste location-routing problem: Integrating NSGA-II and Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 272(3), pages 945-961.
    4. Castillo, Cristian & Alvarez-Palau, Eduard J. & Calvet, Laura & Panadero, Javier & Viu-Roig, Marta & Serena-Latre, Anna & Juan, Angel A., 2024. "Home healthcare in Spanish rural areas: Applying vehicle routing algorithms to health transport management," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    5. Dominguez, Oscar & Guimarans, Daniel & Juan, Angel A. & de la Nuez, Ignacio, 2016. "A Biased-Randomised Large Neighbourhood Search for the two-dimensional Vehicle Routing Problem with Backhauls," European Journal of Operational Research, Elsevier, vol. 255(2), pages 442-462.
    6. Merve Cengiz Toklu, 2023. "A fuzzy multi-criteria approach based on Clarke and Wright savings algorithm for vehicle routing problem in humanitarian aid distribution," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2241-2261, June.
    7. Eskandarpour, Majid & Ouelhadj, Djamila & Hatami, Sara & Juan, Angel A. & Khosravi, Banafsheh, 2019. "Enhanced multi-directional local search for the bi-objective heterogeneous vehicle routing problem with multiple driving ranges," European Journal of Operational Research, Elsevier, vol. 277(2), pages 479-491.
    8. Yuan Zhang & Yu Yuan & Kejing Lu, 2020. "RETRACTED ARTICLE: E-commerce information system data analytics by advanced ACO for asymmetric capacitated vehicle delivery routing," Information Systems and e-Business Management, Springer, vol. 18(4), pages 911-929, December.
    9. Christian Fikar & Angel A. Juan & Enoc Martinez & Patrick Hirsch, 2016. "A discrete-event driven metaheuristic for dynamic home service routing with synchronised trip sharing," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(3), pages 323-340.
    10. Kleprlík Jaroslav & Brázdová Markéta, 2024. "Design of Restrictive Conditions for Simultaneous Loading and Unloading of Goods with Different Temperature Regimes in Vehicle Routing Problem," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 15(1), pages 97-108.

  48. Faulin, Javier & Juan, Angel A. & Serrat, Carles & Bargueño, Vicente, 2008. "Predicting availability functions in time-dependent complex systems with SAEDES simulation algorithms," Reliability Engineering and System Safety, Elsevier, vol. 93(11), pages 1761-1771.

    Cited by:

    1. Christopher Bayliss & Marti Serra & Armando Nieto & Angel A. Juan, 2020. "Combining a Matheuristic with Simulation for Risk Management of Stochastic Assets and Liabilities," Risks, MDPI, vol. 8(4), pages 1-14, December.
    2. Alejandro Estrada-Moreno & Albert Ferrer & Angel A. Juan & Javier Panadero & Adil Bagirov, 2020. "The Non-Smooth and Bi-Objective Team Orienteering Problem with Soft Constraints," Mathematics, MDPI, vol. 8(9), pages 1-16, September.
    3. Juliana Castaneda & Xabier A. Martin & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2022. "A Fuzzy Simheuristic for the Permutation Flow Shop Problem under Stochastic and Fuzzy Uncertainty," Mathematics, MDPI, vol. 10(10), pages 1-17, May.
    4. Juan, Angel A. & Faulin, Javier & Grasman, Scott E. & Rabe, Markus & Figueira, Gonçalo, 2015. "A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems," Operations Research Perspectives, Elsevier, vol. 2(C), pages 62-72.
    5. Diego Oliva & Pedro Copado & Salvador Hinojosa & Javier Panadero & Daniel Riera & Angel A. Juan, 2020. "Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios," Mathematics, MDPI, vol. 8(12), pages 1-19, December.

Chapters

    Sorry, no citations of chapters recorded.

Books

  1. Javier Faulin & Angel A. Juan & Sebastián Martorell & José-Emmanuel Ramírez-Márquez (ed.), 2010. "Simulation Methods for Reliability and Availability of Complex Systems," Springer Series in Reliability Engineering, Springer, number 978-1-84882-213-9, July.

    Cited by:

    1. Sakthivelnathan Nallainathan & Ali Arefi & Christopher Lund & Ali Mehrizi-Sani, 2025. "Microgrid Reliability Incorporating Uncertainty in Weather and Equipment Failure," Energies, MDPI, vol. 18(8), pages 1-23, April.

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