DocumentCode
3091371
Title
The mixed algorithm for vehicle routing problem with simultaneous pick-up and delivery
Author
Zhang, Tao ; Zhang, Yue-jie ; Chen, Qi ; Sun, Yan
Author_Institution
Sch. of Inf. Manage. & Eng., Shanghai Univ. of Finance & Econ., Shanghai, China
Volume
4
fYear
2009
fDate
12-15 July 2009
Firstpage
1871
Lastpage
1876
Abstract
This paper designs a mixed algorithm called PSO_ACS to solve the vehicle routing problem with simultaneous pick-up and delivery. The ACS and PSO are combined by defining information heuristic factor and expectation heuristic factor as the functions of the particle´s positions, and the PSO algorithm is adopted to improve the heuristics parameters self-adaptively. This algorithm improves the convergent speed through changing the inertial weight of the PSO. The results of the numerical experiments on the Dethloff instances show that the mixed algorithm could get better value in efficient time.
Keywords
goods distribution; particle swarm optimisation; transportation; vehicles; PSO algorithm; PSO_ACS; expectation heuristic factor; information heuristic factor; mixed algorithm; simultaneous pick-up and delivery; vehicle routing problem; Cybernetics; Machine learning; Routing; Vehicles; Vehicle routing problem with simultaneous pickup and delivery (VRPSPD); ant colony system (ACS); mixed integer programming; particle swarm optimization (PSO);
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212205
Filename
5212205
Link To Document