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
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;
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
DOI :
10.1109/ICICTA.2009.57
