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An Improving Genetic Algorithm for Vehicle Routing Problem with Time Windows

机译:带时间窗的车辆路径问题的改进遗传算法

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摘要

In this paper, the vehicle routing problem with time windows (VRPTW) was considered, and a mixed integer programming mathematic model of VRPTW was proposed in detail. Meantime, an improved genetic algorithm (IGA) was proposed to overcome the shortcomings of premature convergence and slow convergence of conventional genetic algorithm (GA). The novel crossover-operator、 swapping operator and inversion operator as the core of IGA were constructed to solve VRPTW. The experiment results showed that the IGA can solve VRPTW effectively.
机译:本文考虑了带有时间窗的车辆路径问题(VRPTW),并提出了一种混合整数规划的VRPTW数学模型。同时,提出了一种改进的遗传算法(IGA),以克服传统遗传算法(GA)过早收敛和收敛缓慢的缺点。构建了以IGA为核心的新型交叉算子,交换算子和求反算子来解决VRPTW问题。实验结果表明,IGA可以有效解决VRPTW问题。

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