A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW

Chen, Binhui; Qu, Rong; Bai, Ruibin; Ishibuchi, Hisao

Abstract

The Vehicle Routing Problem with Time Windows (VRPTW) consists of constructing least cost routes from a depot to a set of geographically scattered service points and back to the depot, satisfying service time interval and capacity constraints. A Variable Neighbourhood Search algorithm with Compound Neighbourhoods is proposed to solve VRPTW in this paper. A number of independent neighbourhood operators are composed into compound neighbourhood operators in a new way, to explore wider search area concerning two objectives (to minimize the number of vehicles and the total travel distance) simultaneously. Promising results are obtained on benchmark datasets

Citation

Chen, B., Qu, R., Bai, R., & Ishibuchi, H. A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW. Presented at The 2016 International Conference on Operations Research and Enterprise Systems

• Conference Name: The 2016 International Conference on Operations Research and Enterprise Systems
• End Date: Feb 25, 2016
• Acceptance Date: Dec 1, 2015
• Publication Date: Feb 25, 2016
• Deposit Date: Jun 10, 2016
• Publicly Available Date: Jun 10, 2016
• Peer Reviewed: Peer Reviewed
• Public URL: https://nottingham-repository.worktribe.com/output/775168
• Publisher URL: http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=SIa0Nd3aHTI=&t=1
• Additional Information: Published in: Proceedings of 5th the International Conference on Operations Research and Enterprise Systems, pages 25-35.ISBN 9789897581717 DOI: 10.5220/0005661800250035
• Contract Date: Jun 10, 2016