DocumentCode :
167985
Title :
Heuristics Based Particle Swarm Optimization for Solving Vehicle Routing Problems
Author :
Ruey-Maw Chen ; You-An Chen
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., NCUT, Taichung, Taiwan
fYear :
2014
fDate :
10-12 June 2014
Firstpage :
360
Lastpage :
363
Abstract :
Particle swarm optimization (PSO) is adopted to solve capacitated vehicle routing problems (CVRPs). A nonlinear S decrease curve is employed to adjust the inertia weight of PSO to balance global and local searches. Meanwhile, local search and path relink are also involved to improve the quality of solutions. Experiments were conducted on Auger at problems in the OR Library. Experimental results will were compared with those from other studies. Experimental results prove the algorithm designed in this article can effectively solve capacitated type vehicle routing problems.
Keywords :
logistics; particle swarm optimisation; search problems; vehicle routing; CVRP; PSO; capacitated vehicle routing problem; heuristics based particle swarm optimization; inertia weight; local search; nonlinear S decrease curve; path relink; Algorithm design and analysis; Job shop scheduling; Particle swarm optimization; Processor scheduling; Vectors; Vehicle routing; Vehicles; Capacitated Vehicle Routing Problem (CVRP); Meta-heuristic; Optimization; Particle Swarm Optimization (PSO); Vehicle Routing Problem (VRP);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/IS3C.2014.100
Filename :
6845892
Link To Document :
بازگشت