DocumentCode
501137
Title
Genetic Operator PSO with Information Reused Scheme and its Application in VRP
Author
Xiaoyan, Huang ; Zhan, Wen ; Kechang, Fu ; Ming, Zhu
Author_Institution
Dept. of Control, Chengdu Univ. of Inf. Technol., Chengdu, China
Volume
1
fYear
2009
fDate
6-7 June 2009
Firstpage
214
Lastpage
217
Abstract
For the sake of characters of logistics, Improved genetic operator based particle swarm optimization (GOPSO) is proposed. An pseudo-continuous encoding algorithm are proposed to the GOPSO for the vehicle routing problem (VRP), then information of all the particles is reserved and stored. The reserved information can be utilized to reform and update the particles, by which the efficiency of GOPSO is improved. The effectiveness and advantage of the proposed algorithm is demonstrated by the simulations.
Keywords
genetic algorithms; goods distribution; particle swarm optimisation; genetic operator; particle swarm optimisation; pseudo-continuous encoding algorithm; vehicle routing problem; Ant colony optimization; Control engineering; Costs; Genetics; Information technology; Libraries; Logistics; Particle swarm optimization; Routing; Vehicles; Genetic Operator; Particle Swarm Optimization; Vehicle Routing Problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3645-3
Type
conf
DOI
10.1109/CINC.2009.152
Filename
5231156
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