DocumentCode
2138834
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
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICMSS.2010.5575775
Filename
5575775
Link To Document