Title :
Particle Swarm Optimization in Solving Vehicle Routing Problem
Author :
Shen, Hai ; Zhu, Yunlong ; Liu, Ting ; Jin, Li
Author_Institution :
Key Lab. of Ind. Inf., Chinese Acad. of Sci., Shenyang, China
Abstract :
The vehicle routing problem (VRP) is a NP complete problem and is also a hot topic in the operational research. But traditional methods might suffer from slow convergence and the curse of large sizes, heuristics-based swarm intelligence can be an efficient alternative. Particle swarm optimization (PSO) is known to effectively solve engineering optimization problems. In this paper, the PSO in solving VRP is comprehensive surveyed from two basic aspects: the improved PSO algorithms and the particle encoding method. For each application, technical details that are required are all discussed. Finally, a summary is given together with suggestions for future research.
Keywords :
convergence; encoding; particle swarm optimisation; road vehicles; NP complete problem; VRP; convergence; heuristics-based swarm intelligence; operational research; particle encoding method; particle swarm optimization; vehicle routing problem; Automation; Computer industry; Educational institutions; Encoding; Industrial control; Informatics; Laboratories; Particle swarm optimization; Routing; Vehicles; Particle Swarm Optimization(PSO); Vehicle Routing Problem (VRP); distrete optimization; encoding;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.77