Perishable goods delivery and scheduling with time window by genetic algorithm

Xu Xun-yu, Murata Tomohiro
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引用次数: 3

Abstract

This paper focuses on the problem of delivery and scheduling for perishable goods with time-window. The aim is to find an optimal solution to minimize whole cost of delivery system. The challenge of this problem is that there are several trade-off between time constraint and cost constraint. We propose that genetic algorithm will be applied to research to find solution which meet customers' requirements and save cost in great extend.
基于遗传算法的易腐货物运输调度
研究了具有时间窗的易腐货物的配送与调度问题。其目的是找到一个最优的解决方案,使整个运输系统的成本最小。这个问题的挑战在于在时间约束和成本约束之间存在一些权衡。我们建议将遗传算法应用到研究中,寻找满足客户需求并最大程度节省成本的解决方案。
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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