Int. J. of Computing Science and Mathematics   »   2017 Vol.8, No.3

 

 

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.2017.10006480

 

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

 

Date of acceptance: 08 Apr 2017
Available online: 24 Jul 2017

 

 

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