Optimizing Research of an Improved Simulated Annealing Algorithm to Soft Time Windows Vehicle Routing Problem with Pick-up and Delivery

DENG Ai-min, MAO Chao, ZHOU Yan-ting
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引用次数: 21

Abstract

In this article, we present a more practical mathematical model of vehicle routing problem with pick-up and delivery, which considers the soft time request, vehicle fixed cost, vehicle full-load coefficient. The simulated annealing algorithm was improved to solve the model, the exchange in the lines and between the lines were both used to produces the new solution, through increasing the memory function, using the double termination criterion. We test the new algorithm through a certain scale example, the experimental results show that the new algorithm can obtain better solution, better stability, and high calculation efficiency.

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带取货软时间窗车辆路径问题的改进模拟退火算法优化研究
在考虑软时间要求、车辆固定成本、车辆满载系数的情况下,提出了一个更实用的车辆取货路径问题的数学模型。对模拟退火算法进行了改进,利用线内交换和线间交换产生新的解,通过增加记忆函数,采用双终止准则。我们通过一定规模的算例对新算法进行了测试,实验结果表明,新算法可以获得更好的解,更好的稳定性和较高的计算效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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