基于TSP的动力电池调度问题求解

Janxin Zhou, X. Yao, Ning Zhou
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引用次数: 0

摘要

在测试段的生产过程中,动力电池需要经过两次常温静置和两次参数测量。在此过程中,需要由轨道导引车(RGV)多次处理。本文结合某动力电池生产企业的生产线场景,以最小化任务时间为目标,建立模型。通过进一步分析,将复杂的生产调度问题转化为经典的TSP问题,并采用遗传算法求解该问题。实验结果表明,该算法能有效提高RGV的运行效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solving Power Battery Scheduling Problem Based on TSP
In the production process of the test section, the power battery needs to pass through two room temperature standing and two parameters measurement. In this process, it needs to be handled by RGV (Rail-guided vehicle) many times. Combined with the scene of a power battery manufacturer's production line, this paper aims to minimize the task time and establish a model. Through further analysis, the complex production scheduling problem is transformed into a classical TSP problem, and the genetic algorithm is used to solve the problem. Experimental results show that the algorithm can effectively improve the operating efficiency of RGV.
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