Title: Optimisation of dangerous goods transport based on the improved ant colony algorithm

Authors: Ruichun He; Changxi Ma; Xiaoyan Jia; Qiang Xiao; Lei Qi

Addresses: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, 730070, China

Abstract: As the transportation safety problem of dangerous goods is becoming more and more important, this paper establishes an optimisation model for the dangerous goods transport based on the improved ant colony algorithm. Firstly, the optimisation model of dangerous goods transport is designed. Secondly, the optimisation algorithm is designed based on the ant colony algorithm and genetic algorithm. Finally, the model and algorithm are verified by a case. The result indicates that the optimisation model and algorithm of dangerous goods transport have an important guiding significance on the safety of dangerous goods transport.

Keywords: dangerous goods; transport; optimisation; ant colony algorithm.

DOI: 10.1504/IJCSM.2017.085738

International Journal of Computing Science and Mathematics, 2017 Vol.8 No.3, pp.210 - 217

Received: 06 Jul 2016
Accepted: 08 Apr 2017
Published online: 10 Aug 2017 *

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