Title: New optimisation model and fuzzy adaptive weighted genetic algorithm for hazardous material transportation

Authors: Changxi Ma; Yinzhen Li; Ruichun He; Gang Duan; Li Sun; Bo 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 ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, 730070, China

Abstract: On the basis of analysing the unusual objectives of hazardous material transportation (HMT), a new multi-objective optimisation model for hazardous material transportation (MOM-HMT) is established, which takes into account transportation risk, operation time, the number of sensitive population, risks fairness and multi-batch transportation simultaneously. Then a fuzzy adaptive weighted genetic algorithm (FAWGA) is set up to solve the MOM-HMT by designing priority-based encoding method, partial matching crossover, fuzzy logic control and adaptive weighted assignment mechanism. Finally, the model and algorithm are applied to a real case. The study results show the new model is feasible and the improved genetic algorithm is more effective than the standard genetic algorithm and the improved ant colony algorithm.

Keywords: transport engineering; multi-objective optimisation; modelling; hazardous materials; improved genetic algorithms; fuzzy logic; fuzzy control; priority-based encoding; partial matching crossover; adaptive weighted assignment.

DOI: 10.1504/IJCSM.2012.051621

International Journal of Computing Science and Mathematics, 2012 Vol.3 No.4, pp.341 - 352

Received: 24 Sep 2012
Accepted: 03 Oct 2012
Published online: 30 Aug 2014 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article