遗传算法在面包店送货车辆路线问题中的实际应用

Bell Tunjongsirigul, Pisut Pongchairerks
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引用次数: 10

摘要

本研究以泰国面包房公司为例,考虑一个实际应用中的车辆路线问题。这个车辆路线问题是找到一条路线,将面包店从一个仓库运送到公司的客户。这个问题的目标是找出一条运送路线,使总距离最小,从而使所用车辆的总数最少。为了实现这一目标,本研究采用了遗传算法(GA)。应用遗传算法,提出了一种改进的遗传算法,以使总对应距离最小为目标进行路由选择。利用实测数据对本文提出的遗传算法进行了评价,并与典型路由技术进行了比较。对比结果表明,该遗传算法比传统的路由算法产生更好的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Genetic algorithm for a vehicle routing problem on a real application of Bakery delivery
This research considers a vehicle routing problem of a real application taken from Thai Bakery Company. This vehicle routing problem is to find a route for delivering bakeries from a single depot to the company's customers. The objective of the problem is to the delivery route such that minimize the total distance and, as a consequence, minimize the total number of vehicles used. To achieve the objective, this research applies Genetic algorithm (GA). Genetic algorithm (GA) has been applied to develop a modified-GA approach to make the routing in order to minimize the total corresponding distance. The GA proposed in this research is evaluated by using data taken from the real situation and compared with the typical routing technique. The comparison result reveals that the proposed GA generates better solution than the typical routing technique.
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