IDEAS home Printed from https://ideas.repec.org/r/eee/ejores/v172y2006i3p855-885.html
   My bibliography  Save this item

A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Wenqing He & Zhihong Jin & Ying Huang & Shida Xu, 2021. "The Inland Container Transportation Problem with Separation Mode Considering Carbon Dioxide Emissions," Sustainability, MDPI, vol. 13(3), pages 1-16, February.
  2. Massimiliano Caramia & Francesca Guerriero, 2010. "A Milk Collection Problem with Incompatibility Constraints," Interfaces, INFORMS, vol. 40(2), pages 130-143, April.
  3. Yichen Lu & Chao Yang & Jun Yang, 2022. "A multi-objective humanitarian pickup and delivery vehicle routing problem with drones," Annals of Operations Research, Springer, vol. 319(1), pages 291-353, December.
  4. Jesus Gonzalez-Feliu, 2013. "Multi-stage LTL transport systems in supply chain management," Post-Print halshs-00796714, HAL.
  5. M Caramia & F Guerriero, 2010. "A heuristic approach for the truck and trailer routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(7), pages 1168-1180, July.
  6. Bustos-Coral, Daniel & Costa, Alysson M., 2022. "Drayage routing with heterogeneous fleet, compatibility constraints, and truck load configurations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
  7. Sasitorn Kaewman & Raknoi Akararungruangkul, 2018. "Heuristics Algorithms for a Heterogeneous Fleets VRP with Excessive Demand for the Vehicle at the Pickup Points, and the Longest Traveling Time Constraint: A Case Study in Prasitsuksa Songkloe, Ubonra," Logistics, MDPI, vol. 2(3), pages 1-16, August.
  8. Juan José Miranda-Bront & Brian Curcio & Isabel Méndez-Díaz & Agustín Montero & Federico Pousa & Paula Zabala, 2017. "A cluster-first route-second approach for the swap body vehicle routing problem," Annals of Operations Research, Springer, vol. 253(2), pages 935-956, June.
  9. Ann-Kathrin Rothenbächer & Michael Drexl & Stefan Irnich, 2018. "Branch-and-Price-and-Cut for the Truck-and-Trailer Routing Problem with Time Windows," Transportation Science, INFORMS, vol. 52(5), pages 1174-1190, October.
  10. repec:hal:wpaper:halshs-00796714 is not listed on IDEAS
  11. Dessouky, Maged & Carvajal, Santiago & Yao, Siyuan, 2020. "Congestion Reduction Through Efficient Empty Container Movement Under Stochastic Demand," Institute of Transportation Studies, Working Paper Series qt34c676k1, Institute of Transportation Studies, UC Davis.
  12. 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.
  13. Zhu, Stuart X. & Ursavas, Evrim, 2018. "Design and analysis of a satellite network with direct delivery in the pharmaceutical industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 190-207.
  14. Goh, C.K. & Tan, K.C. & Liu, D.S. & Chiam, S.C., 2010. "A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design," European Journal of Operational Research, Elsevier, vol. 202(1), pages 42-54, April.
  15. Shijin Wang & Xiaodong Wang & Xin Liu & Jianbo Yu, 2018. "A Bi-Objective Vehicle-Routing Problem with Soft Time Windows and Multiple Depots to Minimize the Total Energy Consumption and Customer Dissatisfaction," Sustainability, MDPI, vol. 10(11), pages 1-21, November.
  16. Feng, Bo & Jiang, Zhong-Zhong & Fan, Zhi-Ping & Fu, Na, 2010. "A method for member selection of cross-functional teams using the individual and collaborative performances," European Journal of Operational Research, Elsevier, vol. 203(3), pages 652-661, June.
  17. Wang, Guangchao & Jia, Ning & Ma, Shoufeng & Qi, Hang, 2014. "A rank-dependent bi-criterion equilibrium model for stochastic transportation environment," European Journal of Operational Research, Elsevier, vol. 235(3), pages 511-529.
  18. Simona Mancini, 2013. "Multi-echelon distribution systems in city logistics," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 54, pages 1-2.
  19. 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.
  20. Chebbi, Olfa & Chaouachi, Jouhaina, 2016. "Reducing the wasted transportation capacity of Personal Rapid Transit systems: An integrated model and multi-objective optimization approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 236-258.
  21. Jesus Gonzalez-Feliu, 2012. "Cost optimisation in freight distribution with cross-docking: N-echelon location routing problem," Post-Print halshs-00565329, HAL.
  22. C Alabas-Uslu, 2008. "A self-tuning heuristic for a multi-objective vehicle routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(7), pages 988-996, July.
  23. Mads Jepsen & Simon Spoorendonk & Stefan Ropke, 2013. "A Branch-and-Cut Algorithm for the Symmetric Two-Echelon Capacitated Vehicle Routing Problem," Transportation Science, INFORMS, vol. 47(1), pages 23-37, February.
  24. Jesus Gonzalez-Feliu, 2009. "The N-echelon Location routing problem: concepts and methods for tactical and operational planning," Working Papers halshs-00422492, HAL.
  25. Ann-Kathrin Rothenbächer & Michael Drexl & Stefan Irnich, 2016. "Branch-and-Price-and-Cut for the Truck-andTrailer Routing Problem with Time Windows," Working Papers 1617, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
  26. Villegas, Juan G. & Prins, Christian & Prodhon, Caroline & Medaglia, Andrés L. & Velasco, Nubia, 2013. "A matheuristic for the truck and trailer routing problem," European Journal of Operational Research, Elsevier, vol. 230(2), pages 231-244.
  27. Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando & Toledo, Franklina M.B., 2014. "A relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental company," European Journal of Operational Research, Elsevier, vol. 237(2), pages 729-737.
  28. Okitonyumbe Y.F., Joseph & Ulungu, Berthold E.-L. & Kapiamba Nt., Joel, 2015. "Cobweb Heuristic for solving Multi-Objective Vehicle Routing Problem," MPRA Paper 66121, University Library of Munich, Germany.
  29. Prodhon, Caroline & Prins, Christian, 2014. "A survey of recent research on location-routing problems," European Journal of Operational Research, Elsevier, vol. 238(1), pages 1-17.
  30. Hao, Luyao & Jin, Jian Gang & Zhao, Ke, 2023. "Joint scheduling of barges and tugboats for river–sea intermodal transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
  31. Roberto Baldacci & Aristide Mingozzi & Roberto Roberti & Roberto Wolfler Calvo, 2013. "An Exact Algorithm for the Two-Echelon Capacitated Vehicle Routing Problem," Operations Research, INFORMS, vol. 61(2), pages 298-314, April.
  32. Maximilian Schiffer & Michael Schneider & Grit Walther & Gilbert Laporte, 2019. "Vehicle Routing and Location Routing with Intermediate Stops: A Review," Transportation Science, INFORMS, vol. 53(2), pages 319-343, March.
  33. Christian Tilk & Michael Forbes, 2019. "Branch-and-Cut for the Active-Passive Vehicle Routing Problem," Working Papers 1915, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.