Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76226
Title: A multiple colonies artificial bee colony algorithm for a capacitated vehicle routing problem and re-routing strategies under time-dependent traffic congestion
Authors: Ng, KKH 
Lee, CKM 
Zhang, SZ 
Wu, K
Ho, W
Keywords: Online vehicle routing problem
Swarm intelligence
Artificial bee colony algorithm
Multiple colony strategy
Issue Date: 2017
Publisher: Pergamon Press
Source: Computers and industrial engineering, 2017, v. 109, p. 151-168 How to cite?
Journal: Computers and industrial engineering 
Abstract: An Online Vehicle Routing Problem is a formation of Capacitated Vehicle Routing Problem with rerouting strategy to resolve the problem of inefficient vehicle routing caused by traffic congestion. A flexible delivery rerouting strategy is proposed, which aims at reducing the risk of late delivery. The method of terminating an exploration in a solution by the original ABC algorithm, when the solution is trapped in local optima, is to abandon the solution after specific tolerance limits are set. The phenomenon of local optimal traps will be repeated rapidly after a lengthy recursive process and will eventually result in a low quality solution, with a more complex combinatorial problem when the capability of the exploration is restricted by an inflexible termination criterion. Therefore, this paper proposes a novel scheme using a Multiple Colonies Artificial Bee Colony algorithm. The designs of the outstanding bee selection for colony communication show it to be superior in exploitation. The performance of the proposed algorithm is examined through by Capacitated Vehicle Routing instances and a case study, and the results indicate the potential of using real time information for data-driven vehicle scheduling.
URI: http://hdl.handle.net/10397/76226
ISSN: 0360-8352
EISSN: 1879-0550
DOI: 10.1016/j.cie.2017.05.004
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