New optimisation model and fuzzy adaptive weighted genetic algorithm for hazardous material transportation (Q391701)

Summary: 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.