Hybrid particle swarm optimization for vehicle routing problem with multiple objectives | |
Xu Jie ; Huang De-xian | |
2010-05-06 ; 2010-05-06 | |
关键词 | Theoretical or Mathematical/ Pareto analysis particle swarm optimisation transportation vehicles/ hybrid particle swarm optimization vehicle routing multiple objectives mutation operator roulette-wheel selection Pareto set/ C1290H Systems theory applications in transportation C1180 Optimisation techniques |
中文摘要 | In order to solve the vehicle routing problem with time windows (VRPTW) with multiple objectives, a solution was proposed by combining particle swarm optimization (PSO) with mutation operator. In the solution, with the help of roulette-wheel selection and mutation operator, the discrete problem with multiple objectives could be converged to optimal Pareto set and equally distributed along Pareto curve. The random key was adopted to change from continuous particle position vectors to discrete solution vectors. And the method of relatively minimum distance was proposed to evaluate the Pareto muster. In addition, no-interval coding method was put forward to reduce invalid iteration. Result of the experiments showed that the algorithm was simple and effective. |
语种 | 中文 ; 中文 |
出版者 | Editorial Department of CIMS ; China |
内容类型 | 期刊论文 |
源URL | [http://hdl.handle.net/123456789/9507] ![]() |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | Xu Jie,Huang De-xian. Hybrid particle swarm optimization for vehicle routing problem with multiple objectives[J],2010, 2010. |
APA | Xu Jie,&Huang De-xian.(2010).Hybrid particle swarm optimization for vehicle routing problem with multiple objectives.. |
MLA | Xu Jie,et al."Hybrid particle swarm optimization for vehicle routing problem with multiple objectives".(2010). |
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