期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 89, 期 -, 页码 125-136出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2015.04.011
关键词
Vehicle routing; Multi-depot; Multiple pickup and delivery requests; Particle swarm optimization; Solution representation
资金
- Asian Institute of Technology
- Thailand Research Fund [MLSC525009]
- Royal Thai Government
Two solution representations for solving the generalized multi-depot vehicle routing problem with multiple pickup and delivery requests (GVRP-MDMPDR) is presented in this paper. The representations are used in conjunction with GLNPSO, a variant of PSO with multiple social learning terms. The computational experiments are carried out using benchmark test instances for pickup and delivery problem with time windows (PDPTW) and the generalized vehicle routing problem for multi-depot with multiple pickup and delivery requests (GVRP-MDMPDR). The preliminary results illustrate that the proposed method is capable of providing good solutions for most of the test problems. (C) 2015 Elsevier Ltd. All rights reserved.
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