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A Modified Ant Algorithm for Solving the Vehicle Routing Problem

机译:一种解决车辆路由问题的修改蚂蚁算法

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The ant system is a metaheuristic developed for the solution of hard combinatorial optimization problems. In this paper, through an analysis of the constructive procedure of the solution in the Ant Colony System (ACS), a modified algorithm for solving Vehicle Routing Problem (VRP), based on the ACS Hybridized with Randomized Algo-rithm(HRACS), is proposed. In HRACS, only par-tial customers are randomly chosen to compute the transition probability. Experiments on vari-ous aspects of the algorithm and computational results for fourteen benchmark problems are re-ported. We compare our approach with some other meta-heuristics and show that our results are com-petitive.
机译:蚂蚁系统是为硬组合优化问题解决方案而开发的成式型。本文通过分析蚁群系统(ACS)中的解决方案的建设性步骤,基于用随机算法(HRACS)杂交的ACS来解决车辆路由问题(VRP)的修改算法建议的。在HRAC中,仅随机选择Par-Tial客户来计算转换概率。重新移植算法的变量方面的实验和14个基准问题的计算结果。我们将我们的方法与其他一些荟萃启发式进行比较,并表明我们的结果是符合魅力的。

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