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Application of crossover mutation ant colony algorithm in emergency logistics vehicle routing problem

机译:交叉突变蚁群算法在应急物流车辆路由问题中的应用

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摘要

Ant colony algorithm is a kind of novel simulation-biological evolution algorithm. An improved ant colony algorithm was utilized to solve the vehicle routing problem in emergency logistics. Genetic algorithm was utilized to optimize the parameters of ant colony algorithm. The algorithm possesses some characteristics such as strong total researching ability. The experimental results show that the improved ant colony algorithm possesses better optimization quantity and effect than the traditional ant colony algorithm.
机译:蚁群算法是一种新型仿真生物进化算法。 利用改进的蚁群算法来解决紧急物流中的车辆路由问题。 利用遗传算法来优化蚁群算法的参数。 该算法具有一些特征,如强大的总研究能力。 实验结果表明,改进的蚁群算法具有比传统蚁群算法更好的优化数量和效果。

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