DocumentCode
2487852
Title
GA Applied VRP Solving method for a Cooperative Logistics Network
Author
Onoyama, T. ; Maekawa, Takuya ; Komoda, Natsuki
Author_Institution
Hitachi Software Eng. Co., Ltd., Tokyo
fYear
2006
fDate
20-22 Sept. 2006
Firstpage
1101
Lastpage
1106
Abstract
A method of solving the vehicle routing problem (VRP) that can obtain a highly optimal solution to achieve steady logistics operation is required to optimize a cooperative logistics network. To satisfy this requirement, a multi-stage GA and a method of multipoint evaluation are proposed. The multi-stage GA enables us to obtain an accurate solution under various conditions. Moreover, the method of multi-point evaluation can generate a delivery schedule that enables stable logistics operation. The experimental results revealed the method we propose can obtain accurate solutions to achieve stable operation.
Keywords
genetic algorithms; logistics; vehicles; cooperative logistics network; multistage genetic algorithm; vehicle routing problem; Costs; Logistics; Optimization methods; Procurement; Production facilities; Routing; Software engineering; Supply chains; Transportation; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies and Factory Automation, 2006. ETFA '06. IEEE Conference on
Conference_Location
Prague
Print_ISBN
0-7803-9758-4
Type
conf
DOI
10.1109/ETFA.2006.355445
Filename
4178278
Link To Document