Title :
Vehicle Routing Problem with Fuzzy Demands and the Particle Swarm Optimization Solution
Author :
Peng, Yang ; Chen, Jie
Author_Institution :
Sch. of Comput. & Inf. Eng., Zhejiang GongShang Univ., Hangzhou, China
Abstract :
A novel real number encoding method of Particle Swarm Optimization (PSO) for Vehicle Routing Problem is proposed. Objective is to solve the vehicle routing problem with fuzzy demands (FVRP), in FVRP, a fuzzy chance constrained program model is designed, based on fuzzy credibility theory. numerical experiments are carried out, and the algorithm is compared with other heuristic methods for the same problem.
Keywords :
constraint handling; fuzzy set theory; particle swarm optimisation; transportation; chance constrained program model; fuzzy credibility theory; fuzzy demands; particle swarm optimization; real number encoding method; vehicle routing problem; Chromium; Computational modeling; Indexes; Optimization; Particle swarm optimization; Routing; Vehicles;
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
DOI :
10.1109/ICMSS.2010.5575775
