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Benchmarks for basic scheduling problems

Citations

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Cited by:

  1. Becker, Tristan & Neufeld, Janis & Buscher, Udo, 2025. "The distributed flow shop scheduling problem with inter-factory transportation," European Journal of Operational Research, Elsevier, vol. 322(1), pages 39-55.
  2. Carlos R. H. Márquez & Vanessa Braganholo & Celso C. Ribeiro, 2025. "An open-source framework for solving shop scheduling problems in manufacturing environments," Annals of Operations Research, Springer, vol. 351(1), pages 1155-1183, August.
  3. Jinliang Cheng & Hiroshi Kise & Hironori Matsumoto, 1997. "A branch-and-bound algorithm with fuzzy inference for a permutation flowshop scheduling problem," European Journal of Operational Research, Elsevier, vol. 96(3), pages 578-590, February.
  4. Weibo Liu & Yan Jin & Mark Price, 2017. "New scheduling algorithms and digital tool for dynamic permutation flowshop with newly arrived order," International Journal of Production Research, Taylor & Francis Journals, vol. 55(11), pages 3234-3248, June.
  5. Liu, Shi Qiang & Kozan, Erhan, 2009. "Scheduling a flow shop with combined buffer conditions," International Journal of Production Economics, Elsevier, vol. 117(2), pages 371-380, February.
  6. Nowicki, Eugeniusz & Smutnicki, Czeslaw, 2006. "Some aspects of scatter search in the flow-shop problem," European Journal of Operational Research, Elsevier, vol. 169(2), pages 654-666, March.
  7. Tamás Hajba & Zoltán Horváth, 2015. "MILP models for the optimization of real production lines," 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. 23(4), pages 899-912, December.
  8. Karimi-Mamaghan, Maryam & Mohammadi, Mehrdad & Pasdeloup, Bastien & Meyer, Patrick, 2023. "Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1296-1330.
  9. Anran Zhao & Peng Liu & Xiyu Gao & Guotai Huang & Xiuguang Yang & Yuan Ma & Zheyu Xie & Yunfeng Li, 2022. "Data-Mining-Based Real-Time Optimization of the Job Shop Scheduling Problem," Mathematics, MDPI, vol. 10(23), pages 1-30, December.
  10. Mohammad Rostami & Milad Mohammadi, 2024. "Two-machine decentralized flow shop scheduling problem with inter-factory batch delivery system," Operational Research, Springer, vol. 24(3), pages 1-37, September.
  11. Susana Fernandes & Helena Ramalhinho-Lourenço, 2007. "A simple optimised search heuristic for the job-shop scheduling problem," Economics Working Papers 1050, Department of Economics and Business, Universitat Pompeu Fabra.
  12. Bierwirth, C. & Kuhpfahl, J., 2017. "Extended GRASP for the job shop scheduling problem with total weighted tardiness objective," European Journal of Operational Research, Elsevier, vol. 261(3), pages 835-848.
  13. Ruiz, Ruben & Maroto, Concepcion & Alcaraz, Javier, 2005. "Solving the flowshop scheduling problem with sequence dependent setup times using advanced metaheuristics," European Journal of Operational Research, Elsevier, vol. 165(1), pages 34-54, August.
  14. Rossit, Daniel Alejandro & Tohmé, Fernando & Frutos, Mariano, 2018. "The Non-Permutation Flow-Shop scheduling problem: A literature review," Omega, Elsevier, vol. 77(C), pages 143-153.
  15. Murovec, Boštjan, 2015. "Job-shop local-search move evaluation without direct consideration of the criterion’s value," European Journal of Operational Research, Elsevier, vol. 241(2), pages 320-329.
  16. Brammer, Janis & Lutz, Bernhard & Neumann, Dirk, 2022. "Permutation flow shop scheduling with multiple lines and demand plans using reinforcement learning," European Journal of Operational Research, Elsevier, vol. 299(1), pages 75-86.
  17. Wang, Sheng-yao & Wang, Ling & Liu, Min & Xu, Ye, 2013. "An effective estimation of distribution algorithm for solving the distributed permutation flow-shop scheduling problem," International Journal of Production Economics, Elsevier, vol. 145(1), pages 387-396.
  18. Brasel, Heidemarie & Hennes, Holger, 2004. "On the open-shop problem with preemption and minimizing the average completion time," European Journal of Operational Research, Elsevier, vol. 157(3), pages 607-619, September.
  19. Yongxin Lu & Yiping Yuan & Jiarula Yasenjiang & Adilanmu Sitahong & Yongsheng Chao & Yunxuan Wang, 2025. "An Optimized Method for Solving the Green Permutation Flow Shop Scheduling Problem Using a Combination of Deep Reinforcement Learning and Improved Genetic Algorithm," Mathematics, MDPI, vol. 13(4), pages 1-37, February.
  20. Vallada, Eva & Ruiz, Rubén, 2009. "Cooperative metaheuristics for the permutation flowshop scheduling problem," European Journal of Operational Research, Elsevier, vol. 193(2), pages 365-376, March.
  21. J. Christopher Beck & T. K. Feng & Jean-Paul Watson, 2011. "Combining Constraint Programming and Local Search for Job-Shop Scheduling," INFORMS Journal on Computing, INFORMS, vol. 23(1), pages 1-14, February.
  22. Xiaohui Zhang & Xinhua Liu & Shufeng Tang & Grzegorz Królczyk & Zhixiong Li, 2019. "Solving Scheduling Problem in a Distributed Manufacturing System Using a Discrete Fruit Fly Optimization Algorithm," Energies, MDPI, vol. 12(17), pages 1-24, August.
  23. Abdelhamid Boudjelida, 2019. "On the robustness of joint production and maintenance scheduling in presence of uncertainties," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1515-1530, April.
  24. Abdelmonem M. Ibrahim & Mohamed A. Tawhid, 2023. "An improved artificial algae algorithm integrated with differential evolution for job-shop scheduling problem," Journal of Intelligent Manufacturing, Springer, vol. 34(4), pages 1763-1778, April.
  25. Mircea Ancău, 2026. "Viral mutation-inspired evolutionary algorithm for permutation flowshop scheduling," Journal of Intelligent Manufacturing, Springer, vol. 37(1), pages 417-440, January.
  26. Ramudhin, Amar & Marier, Philippe, 1996. "The generalized Shifting Bottleneck Procedure," European Journal of Operational Research, Elsevier, vol. 93(1), pages 34-48, August.
  27. Liu, Jiyin & Reeves, Colin R, 2001. "Constructive and composite heuristic solutions to the P//[summation operator]Ci scheduling problem," European Journal of Operational Research, Elsevier, vol. 132(2), pages 439-452, July.
  28. Naderi, Bahman & Ruiz, Rubén, 2014. "A scatter search algorithm for the distributed permutation flowshop scheduling problem," European Journal of Operational Research, Elsevier, vol. 239(2), pages 323-334.
  29. Pagnozzi, Federico & Stützle, Thomas, 2021. "Automatic design of hybrid stochastic local search algorithms for permutation flowshop problems with additional constraints," Operations Research Perspectives, Elsevier, vol. 8(C).
  30. Ruiz, Ruben & Stutzle, Thomas, 2007. "A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem," European Journal of Operational Research, Elsevier, vol. 177(3), pages 2033-2049, March.
  31. Hossein Badri & Tayebeh Bahreini & Daniel Grosu, 2024. "Parallel shifting bottleneck algorithms for non-permutation flow shop scheduling," Annals of Operations Research, Springer, vol. 343(1), pages 39-65, December.
  32. Fernandez-Viagas, Victor & Molina-Pariente, Jose M. & Framinan, Jose M., 2020. "Generalised accelerations for insertion-based heuristics in permutation flowshop scheduling," European Journal of Operational Research, Elsevier, vol. 282(3), pages 858-872.
  33. Michał Ćwik & Jerzy Józefczyk, 2018. "Heuristic algorithms for the minmax regret flow-shop problem with interval processing times," 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. 26(1), pages 215-238, March.
  34. Bahman Naderi & Rubén Ruiz & Vahid Roshanaei, 2023. "Mixed-Integer Programming vs. Constraint Programming for Shop Scheduling Problems: New Results and Outlook," INFORMS Journal on Computing, INFORMS, vol. 35(4), pages 817-843, July.
  35. Panos Pardalos & Oleg Shylo, 2006. "An Algorithm for the Job Shop Scheduling Problem based on Global Equilibrium Search Techniques," Computational Management Science, Springer, vol. 3(4), pages 331-348, September.
  36. David Alcaide & Joaquín Sicilia & Daniele Vigo, 1997. "A tabu search algorithm for the Open Shop problem," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 5(2), pages 283-296, December.
  37. Ciavotta, Michele & Minella, Gerardo & Ruiz, Rubén, 2013. "Multi-objective sequence dependent setup times permutation flowshop: A new algorithm and a comprehensive study," European Journal of Operational Research, Elsevier, vol. 227(2), pages 301-313.
  38. Li, Xiaoping & Chen, Long & Xu, Haiyan & Gupta, Jatinder N.D., 2015. "Trajectory Scheduling Methods for minimizing total tardiness in a flowshop," Operations Research Perspectives, Elsevier, vol. 2(C), pages 13-23.
  39. Panos Pardalos & Oleg Shylo & Alkis Vazacopoulos, 2010. "Solving job shop scheduling problems utilizing the properties of backbone and “big valley”," Computational Optimization and Applications, Springer, vol. 47(1), pages 61-76, September.
  40. Benavides, Alexander J. & Vera, Antony, 2022. "The reversibility property in a job-insertion tiebreaker for the permutational flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(2), pages 407-421.
  41. Pan, Quan-Ke & Wang, Ling, 2012. "Effective heuristics for the blocking flowshop scheduling problem with makespan minimization," Omega, Elsevier, vol. 40(2), pages 218-229, April.
  42. Cheng, Jinliang & Steiner, George & Stephenson, Paul, 2001. "A computational study with a new algorithm for the three-machine permutation flow-shop problem with release times," European Journal of Operational Research, Elsevier, vol. 130(3), pages 559-575, May.
  43. Carlos Mencía & María Sierra & Ramiro Varela, 2013. "Depth-first heuristic search for the job shop scheduling problem," Annals of Operations Research, Springer, vol. 206(1), pages 265-296, July.
  44. 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.
  45. Chen-Yang Cheng & Shih-Wei Lin & Pourya Pourhejazy & Kuo-Ching Ying & Yu-Zhe Lin, 2021. "No-Idle Flowshop Scheduling for Energy-Efficient Production: An Improved Optimization Framework," Mathematics, MDPI, vol. 9(12), pages 1-18, June.
  46. Pan, Quan-Ke & Ruiz, Rubén, 2012. "Local search methods for the flowshop scheduling problem with flowtime minimization," European Journal of Operational Research, Elsevier, vol. 222(1), pages 31-43.
  47. Humyun Fuad Rahman & Tom Servranckx & Ripon K. Chakrabortty & Mario Vanhoucke & Sondoss El Sawah, 2025. "Synchronizing production and delivery in flow shops with time-of-use electricity pricing," Annals of Operations Research, Springer, vol. 345(1), pages 371-403, February.
  48. Débora Ronconi, 2005. "A Branch-and-Bound Algorithm to Minimize the Makespan in a Flowshop with Blocking," Annals of Operations Research, Springer, vol. 138(1), pages 53-65, September.
  49. Waldherr, Stefan & Knust, Sigrid, 2017. "Decomposition algorithms for synchronous flow shop problems with additional resources and setup times," European Journal of Operational Research, Elsevier, vol. 259(3), pages 847-863.
  50. Franzin, Alberto & Stützle, Thomas, 2023. "A landscape-based analysis of fixed temperature and simulated annealing," European Journal of Operational Research, Elsevier, vol. 304(2), pages 395-410.
  51. Andrzej Bożek, 2020. "Energy Cost-Efficient Task Positioning in Manufacturing Systems," Energies, MDPI, vol. 13(19), pages 1-21, September.
  52. Buscher, Udo & Shen, Liji, 2009. "An integrated tabu search algorithm for the lot streaming problem in job shops," European Journal of Operational Research, Elsevier, vol. 199(2), pages 385-399, December.
  53. Martín Ravetti & Carlos Riveros & Alexandre Mendes & Mauricio Resende & Panos Pardalos, 2012. "Parallel hybrid heuristics for the permutation flow shop problem," Annals of Operations Research, Springer, vol. 199(1), pages 269-284, October.
  54. Kalczynski, Pawel J. & Kamburowski, Jerzy, 2009. "An empirical analysis of the optimality rate of flow shop heuristics," European Journal of Operational Research, Elsevier, vol. 198(1), pages 93-101, October.
  55. Demirkol, Ebru & Mehta, Sanjay & Uzsoy, Reha, 1998. "Benchmarks for shop scheduling problems," European Journal of Operational Research, Elsevier, vol. 109(1), pages 137-141, August.
  56. Berghman, Lotte & Kergosien, Yannick & Billaut, Jean-Charles, 2023. "A review on integrated scheduling and outbound vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 311(1), pages 1-23.
  57. Fernando Siqueira de Almeida & Marcelo Seido Nagano, 2024. "An ALNS to optimize makespan subject to total completion time for no-wait flow shops with sequence-dependent setup times," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(2), pages 304-322, July.
  58. Mejía, Gonzalo & Yuraszeck, Francisco, 2020. "A self-tuning variable neighborhood search algorithm and an effective decoding scheme for open shop scheduling problems with travel/setup times," European Journal of Operational Research, Elsevier, vol. 285(2), pages 484-496.
  59. Guangchen Wang & Xinyu Li & Liang Gao & Peigen Li, 2022. "An effective multi-objective whale swarm algorithm for energy-efficient scheduling of distributed welding flow shop," Annals of Operations Research, Springer, vol. 310(1), pages 223-255, March.
  60. Ahmadian, Mohammad Mahdi & Khatami, Mostafa & Salehipour, Amir & Cheng, T.C.E., 2021. "Four decades of research on the open-shop scheduling problem to minimize the makespan," European Journal of Operational Research, Elsevier, vol. 295(2), pages 399-426.
  61. Carlier, Jacques & Rebai, Ismail, 1996. "Two branch and bound algorithms for the permutation flow shop problem," European Journal of Operational Research, Elsevier, vol. 90(2), pages 238-251, April.
  62. R. B. Damm & A. A. Chaves & J. A. Riveaux & D. P. Ronconi, 2025. "Scheduling technicians and tasks through an adaptive multi-objective biased random-key genetic algorithm," Annals of Operations Research, Springer, vol. 346(2), pages 945-980, March.
  63. Fleming, Christopher L. & Griffis, Stanley E. & Bell, John E., 2013. "The effects of triangle inequality on the vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 224(1), pages 1-7.
  64. Sterna, Malgorzata, 2011. "A survey of scheduling problems with late work criteria," Omega, Elsevier, vol. 39(2), pages 120-129, April.
  65. Varadharajan, T.K. & Rajendran, Chandrasekharan, 2005. "A multi-objective simulated-annealing algorithm for scheduling in flowshops to minimize the makespan and total flowtime of jobs," European Journal of Operational Research, Elsevier, vol. 167(3), pages 772-795, December.
  66. Geiger, Martin Josef, 2007. "On operators and search space topology in multi-objective flow shop scheduling," European Journal of Operational Research, Elsevier, vol. 181(1), pages 195-206, August.
  67. Shahaboddin Shamshirband & Mohammad Shojafar & A. Hosseinabadi & Maryam Kardgar & M. Nasir & Rodina Ahmad, 2015. "OSGA: genetic-based open-shop scheduling with consideration of machine maintenance in small and medium enterprises," Annals of Operations Research, Springer, vol. 229(1), pages 743-758, June.
  68. Theodor Freiheit & Wei Li, 2017. "The effect of work content imbalance and its interaction with scheduling method on sequential flow line performance," International Journal of Production Research, Taylor & Francis Journals, vol. 55(10), pages 2791-2805, May.
  69. Pan, Quan-Ke & Gao, Liang & Li, Xin-Yu & Gao, Kai-Zhou, 2017. "Effective metaheuristics for scheduling a hybrid flowshop with sequence-dependent setup times," Applied Mathematics and Computation, Elsevier, vol. 303(C), pages 89-112.
  70. Zeynep Adak & Mahmure Övül Arıoğlu Akan & Serol Bulkan, 0. "Multiprocessor open shop problem: literature review and future directions," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-23.
  71. Yannik Zeiträg & José Rui Figueira, 2023. "Automatically evolving preference-based dispatching rules for multi-objective job shop scheduling," Journal of Scheduling, Springer, vol. 26(3), pages 289-314, June.
  72. Ronconi, Debora P., 2004. "A note on constructive heuristics for the flowshop problem with blocking," International Journal of Production Economics, Elsevier, vol. 87(1), pages 39-48, January.
  73. Jose L. Andrade-Pineda & David Canca & Pedro L. Gonzalez-R & M. Calle, 2020. "Scheduling a dual-resource flexible job shop with makespan and due date-related criteria," Annals of Operations Research, Springer, vol. 291(1), pages 5-35, August.
  74. Hong Shen & Yuwei Cheng & Yazhi Li, 2025. "A Hybrid Harmony Search Algorithm for Distributed Permutation Flowshop Scheduling with Multimodal Optimization," Mathematics, MDPI, vol. 13(16), pages 1-19, August.
  75. Fernandez-Viagas, Victor & Talens, Carla & Prata, Bruno de Athayde, 2025. "A speed-up procedure and new heuristics for the classical job shop scheduling problem: A computational evaluation," European Journal of Operational Research, Elsevier, vol. 322(3), pages 783-794.
  76. Lemesre, J. & Dhaenens, C. & Talbi, E.G., 2007. "An exact parallel method for a bi-objective permutation flowshop problem," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1641-1655, March.
  77. Naderi, B. & Zandieh, M., 2014. "Modeling and scheduling no-wait open shop problems," International Journal of Production Economics, Elsevier, vol. 158(C), pages 256-266.
  78. Jelke J. Hoorn, 2018. "The Current state of bounds on benchmark instances of the job-shop scheduling problem," Journal of Scheduling, Springer, vol. 21(1), pages 127-128, February.
  79. Tseng, Lin-Yu & Lin, Ya-Tai, 2009. "A hybrid genetic local search algorithm for the permutation flowshop scheduling problem," European Journal of Operational Research, Elsevier, vol. 198(1), pages 84-92, October.
  80. Selcuk Colak & Anurag Agarwal, 2005. "Non‐greedy heuristics and augmented neural networks for the open‐shop scheduling problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(7), pages 631-644, October.
  81. Mostafa Khatami & Seyed Hessameddin Zegordi, 2017. "Coordinative production and maintenance scheduling problem with flexible maintenance time intervals," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 857-867, April.
  82. Donald Davendra & Ivan Zelinka & Magdalena Bialic-Davendra & Roman Senkerik & Roman Jasek, 2012. "Clustered enhanced differential evolution for the blocking flow shop scheduling problem," 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. 20(4), pages 679-717, December.
  83. Ruiz, Rubén & Maroto, Concepciøn & Alcaraz, Javier, 2006. "Two new robust genetic algorithms for the flowshop scheduling problem," Omega, Elsevier, vol. 34(5), pages 461-476, October.
  84. Josu Ceberio & Ekhine Irurozki & Alexander Mendiburu & Jose Lozano, 2015. "A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms," Computational Optimization and Applications, Springer, vol. 62(2), pages 545-564, November.
  85. Waldherr, Stefan & Knust, Sigrid & Briskorn, Dirk, 2017. "Synchronous flow shop problems: How much can we gain by leaving machines idle?," Omega, Elsevier, vol. 72(C), pages 15-24.
  86. Diarmuid Grimes & Emmanuel Hebrard, 2015. "Solving Variants of the Job Shop Scheduling Problem Through Conflict-Directed Search," INFORMS Journal on Computing, INFORMS, vol. 27(2), pages 268-284, May.
  87. Libralesso, Luc & Focke, Pablo Andres & Secardin, Aurélien & Jost, Vincent, 2022. "Iterative beam search algorithms for the permutation flowshop," European Journal of Operational Research, Elsevier, vol. 301(1), pages 217-234.
  88. Ronconi, Débora P. & Henriques, Luís R.S., 2009. "Some heuristic algorithms for total tardiness minimization in a flowshop with blocking," Omega, Elsevier, vol. 37(2), pages 272-281, April.
  89. Jann Michael Weinand & Kenneth Sorensen & Pablo San Segundo & Max Kleinebrahm & Russell McKenna, 2020. "Research trends in combinatorial optimisation," Papers 2012.01294, arXiv.org.
  90. Angel A. Juan & Helena Ramalhinho-Lourenço & Manuel Mateo & Quim Castellà & Barry B. Barrios, 2012. "ILS-ESP: An efficient, simple, and parameter-free algorithm for solving the permutation flow-shop problem," Economics Working Papers 1319, Department of Economics and Business, Universitat Pompeu Fabra.
  91. Tirupati Devanath & Peeyush Mehta & Chandra, Pankaj, 2004. "Permutation Flowshop Scheduling with Earliness and Tardiness Penalties," IIMA Working Papers WP2004-07-06, Indian Institute of Management Ahmedabad, Research and Publication Department.
  92. Teixeira, Ewerton & Subramanian, Anand & Kramer, Hugo Harry, 2026. "A hybrid population-based ruin-and-recreate algorithm for the blocking flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 329(2), pages 391-404.
  93. Digalakis, Jason G & Margaritis, Konstantinos G, 2002. "A multipopulation cultural algorithm for the electrical generator scheduling problem," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 60(3), pages 293-301.
  94. Tsogbetse, Israël & Bernard, Julien & Manier, Hervé & Manier, Marie-Ange, 2024. "Influence of encoding and neighborhood in landscape analysis and tabu search performance for job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 319(3), pages 739-746.
  95. Pan, Quan-Ke & Ruiz, Rubén, 2014. "An effective iterated greedy algorithm for the mixed no-idle permutation flowshop scheduling problem," Omega, Elsevier, vol. 44(C), pages 41-50.
  96. J M Framinan & J N D Gupta & R Leisten, 2004. "A review and classification of heuristics for permutation flow-shop scheduling with makespan objective," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(12), pages 1243-1255, December.
  97. Fernando Garza-Santisteban & Jorge Mario Cruz-Duarte & Ivan Amaya & José Carlos Ortiz-Bayliss & Santiago Enrique Conant-Pablos & Hugo Terashima-Marín, 2025. "Selection hyper-heuristics and job shop scheduling problems: How does instance size influence performance?," Journal of Scheduling, Springer, vol. 28(1), pages 85-99, February.
  98. Lin, Shih-Wei & Ying, Kuo-Ching, 2016. "Optimization of makespan for no-wait flowshop scheduling problems using efficient matheuristics," Omega, Elsevier, vol. 64(C), pages 115-125.
  99. Tamás Hajba & Zoltán Horváth, 2013. "New effective MILP models for PFSPs arising from real applications," 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. 21(4), pages 729-744, December.
  100. Gerardo Minella & Rubén Ruiz & Michele Ciavotta, 2008. "A Review and Evaluation of Multiobjective Algorithms for the Flowshop Scheduling Problem," INFORMS Journal on Computing, INFORMS, vol. 20(3), pages 451-471, August.
  101. Du, Zhao-sheng & Li, Jun-qing & Song, Hao-nan & Gao, Kai-zhou & Xu, Ying & Li, Jia-ke & Zheng, Zhi-xin, 2025. "Solving the permutation flow shop scheduling problem with sequence-dependent setup time via iterative greedy algorithm and imitation learning," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 234(C), pages 169-193.
  102. Pempera, Jaroslaw & Smutnicki, Czeslaw, 2018. "Open shop cyclic scheduling," European Journal of Operational Research, Elsevier, vol. 269(2), pages 773-781.
  103. Yenisey, Mehmet Mutlu & Yagmahan, Betul, 2014. "Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends," Omega, Elsevier, vol. 45(C), pages 119-135.
  104. J E C Arroyo & V A Armentano, 2004. "A partial enumeration heuristic for multi-objective flowshop scheduling problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(9), pages 1000-1007, September.
  105. Mohamed Anis Allouche, 2010. "Manager’s Preferences Modeling within Multi-Criteria Flowshop Scheduling Problem: A Metaheuristic Approach," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 1(2), pages 33-45, December.
  106. Ansis Ozolins, 2021. "Dynamic programming approach for solving the open shop problem," 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. 29(1), pages 291-306, March.
  107. Guangchen Wang & Peng Wang & Honggang Zhang, 2024. "A Self-Adaptive Memetic Algorithm for Distributed Job Shop Scheduling Problem," Mathematics, MDPI, vol. 12(5), pages 1-16, February.
  108. Benavides, Alexander J. & Ritt, Marcus & Miralles, Cristóbal, 2014. "Flow shop scheduling with heterogeneous workers," European Journal of Operational Research, Elsevier, vol. 237(2), pages 713-720.
  109. Da Col, Giacomo & Teppan, Erich C., 2022. "Industrial-size job shop scheduling with constraint programming," Operations Research Perspectives, Elsevier, vol. 9(C).
  110. Blazewicz, Jacek & Domschke, Wolfgang & Pesch, Erwin, 1996. "The job shop scheduling problem: Conventional and new solution techniques," European Journal of Operational Research, Elsevier, vol. 93(1), pages 1-33, August.
  111. Smutnicki, Czeslaw & Pempera, Jaroslaw & Bocewicz, Grzegorz & Banaszak, Zbigniew, 2022. "Cyclic flow-shop scheduling with no-wait constraints and missing operations," European Journal of Operational Research, Elsevier, vol. 302(1), pages 39-49.
  112. K Sheibani, 2010. "A fuzzy greedy heuristic for permutation flow-shop scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 813-818, May.
  113. Ruiz, Ruben & Maroto, Concepcion, 2005. "A comprehensive review and evaluation of permutation flowshop heuristics," European Journal of Operational Research, Elsevier, vol. 165(2), pages 479-494, September.
  114. Jianhui Mou & Xinyu Li & Liang Gao & Wenchao Yi, 2018. "An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems," Journal of Intelligent Manufacturing, Springer, vol. 29(4), pages 789-807, April.
  115. Dhaenens, C. & Lemesre, J. & Talbi, E.G., 2010. "K-PPM: A new exact method to solve multi-objective combinatorial optimization problems," European Journal of Operational Research, Elsevier, vol. 200(1), pages 45-53, January.
  116. Jean-Paul Watson & Laura Barbulescu & L. Darrell Whitley & Adele E. Howe, 2002. "Contrasting Structured and Random Permutation Flow-Shop Scheduling Problems: Search-Space Topology and Algorithm Performance," INFORMS Journal on Computing, INFORMS, vol. 14(2), pages 98-123, May.
  117. Maria Raquel C. Costa & Jorge M. S. Valente & Jeffrey E. Schaller, 2020. "Efficient procedures for the weighted squared tardiness permutation flowshop scheduling problem," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 487-522, September.
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