DocumentCode
1896853
Title
The Genetic Algorithm on the Multiple-Depot Vehicle Routing Problem with Vehicle Sharing
Author
Hao, Xiong ; Huili, Yan
Author_Institution
Sch. of Traffic & Transp. Eng., Tongji Univ., Shanghai, China
Volume
1
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
201
Lastpage
204
Abstract
This paper study on the MDVRP with vehicle sharing, the vehicles can come to any depots. And we present an improved genetic algorithm with chromosome representing the clients. A typical result and the analysis of experiment indicate the validity of the method to solve the MDVRP.
Keywords
genetic algorithms; vehicles; genetic algorithm; multiple-depot vehicle routing problem; vehicle routing problem with vehicle sharing; Automation; Automotive engineering; Biological cells; Fuels; Genetic algorithms; Genetic engineering; Intelligent vehicles; Routing; Transportation; Virtual colonoscopy; Genetic algorithm; Multiple-Depot; Vehicle Routing Problem; Vehicle Share;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICICTA.2009.57
Filename
5287675
Link To Document