DocumentCode
535913
Title
Research on Multi-vehicle and Multi-depot Vehicle Routing Problem with Time Windows for Electronic Commerce
Author
Chunyu, Ren ; Xiaobo, Wang
Author_Institution
Sch. of Inf. Sci. & Technol., Heilongjiang Univ., Harbin, China
Volume
1
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
552
Lastpage
555
Abstract
With the rapid development of electronic commerce and logistics distribution, multi-depot vehicle routing problem with time windows (MDVRPTW) as influencing electronic commerce more step development, has been paid more attentions. According to the characteristics of model, hybrid heuristic algorithm is used to get the optimization solution. First of all, use hybrid coding so as to simplify the problem, construct the pertinence of initial solution to enhance the feasibility of solutions. Secondly, using the best retain select method to ensure the diversity of groups. Improved ordinal crossover operators can avoid destroying good gene parts during the course of ordinal crossover. Adopt partial route overturn mutation operator to improve convergent speed. In the end, the test proves the validity of this improved algorithm combining with examples.
Keywords
electronic commerce; heuristic programming; logistics data processing; optimisation; electronic commerce; good gene parts; hybrid coding; hybrid heuristic algorithm; logistics distribution; multidepot vehicle routing; optimization; ordinal crossover operators; time windows; Biological cells; Classification algorithms; Encoding; Heuristic algorithms; Optimization; Routing; Vehicles; hybrid coding; hybrid heuristic algorithm; improved ordinal crossover operators; multi-depot; vehicle routing problem with time window;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-8432-4
Type
conf
DOI
10.1109/AICI.2010.121
Filename
5655391
Link To Document