An Improved Immune-Genetic Algorithm for the Traveling Salesman Problem
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 04
Integral Particle Swarm Optimization with Dispersed Accelerator Information
Fundamenta Informaticae - Swarm Intelligence
Interpolated differential evolution for global optimisation problems
International Journal of Computing Science and Mathematics
International Journal of Bio-Inspired Computation
International Journal of Wireless and Mobile Computing
Social emotional optimisation algorithm with Levy distribution
International Journal of Wireless and Mobile Computing
International Journal of Computing Science and Mathematics
An improved particle swarm optimisation for solving generalised travelling salesman problem
International Journal of Computing Science and Mathematics
International Journal of Computer Applications in Technology
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When selecting an optimal route for hazardous materials transportation, many factors are needed to be considered. Through minimising transportation risk and operation distance, multi-objective travelling salesman problem MO-TSP model for hazardous materials transportation route is established. The natural chromosome encoding is used to encode and the roulette and optimal saving strategy are combined for selection, the order crossover is used for crossover operation to improve the traditional genetic algorithm. Then the improved genetic algorithm is used to solve MO-TSP model of hazardous materials transportation route. Finally, the correctness and effectiveness of the model and algorithm are verified with a case. This approach can help decision-makers determine reasonable transportation route for the hazardous materials transportation.