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Improved cross-removing ant colony algorithm for vehicle routing problem

机译:用于车辆路径问题的改进的交叉去除蚁群算法

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To solve path crossing problem of ant colony algorithm for vehicle routing problem (VRP), algorithms for removing crosses in and between branch circuits were proposed, based on convex hull principle and the principle of line intersection judgment. The main ideas of the algorithms were analyzed in detail and solving VRP on computer was achieved. The 21 cities’ vehicle routing problem was simulated by the improved cross-removing ant colony algorithm. The result shows that the total path length is 846.78 km, which is shorter than the results of other algorithms. And it also shows that this algorithm has a stronger ability of finding better solutions.
机译:为解决车辆路径问题(VRP)的蚁群算法的路径穿越问题,提出了一种基于凸包原理和线相交判断原理的消除分支电路内部和之间交叉的算法。详细分析了算法的主要思想,实现了在计算机上求解VRP。通过改进的交叉去除蚁群算法对21个城市的车辆路径问题进行了仿真。结果表明,总路径长度为846.78 km,比其他算法的结果要短。这也表明该算法具有较强的寻找更好解的能力。

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