New optimisation model and fuzzy adaptive weighted genetic algorithm for hazardous material transportation. (1st January 2012)

• Record Type: Journal Article
• Authors: Ma, Changxi; Li, Yinzhen; He, Ruichun; Duan, Gang; Sun, Li; Qi, Bo
• Is Part Of: International journal of computing science and mathematics. Volume 3:Number 4(2012)
• Page Start: 341
• Page End: 352
• Publication Date: 2012-01-01
• Subjects: transportation engineering -- multi-objective optimisation model -- hazardous material -- improved genetic algorithm; Mathematics -- Periodicals; Computer science -- Periodicals; Mathematics -- Data processing -- Periodicals; 510.285
• Languages: English
• ISSNs: 1752-5055

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 algorithm genetic is more effective than the standard genetic algorithm and the improved ant colony algorithm.