基于遗传算法的离散事件产生模拟器的前馈超光速优化设计

J. Qudeiri, Hidehiko Yamamoto, R. Ramli
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引用次数: 0

摘要

提出了一种新的前馈柔性传输线优化设计问题。通过对机床和缓冲尺寸的分析,找到了实现高产量的FTL-FF的最佳设计方案。从市场上可获得的产品列表中选择具有不同性能的机床。为了解决这一问题,提出了一种结合遗传算法的离散事件产生模拟器(DEPS)。遗传方法是基于一种称为多群排列法(MGAM)的技术,它排列个体的基因。数值算例表明,基于DEPS和遗传算法的组合运算经过多次运算后,找到了最接近的FTL-FF最优设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FTL with feed-forward optimal design by discrete event production simulator with GA
This article formulates a new optimal design problem of a flexible transfer line with feed-forward lines (FTL-FF). The machine tools and the buffer size are included to find the optimal design of the FTL-FF that achieves a greater production rate of the FTL-FF. Machine tools with different performances are selected from a list of products available in the market. To solve this problem, a discrete event production simulator (DEPS) in conjunction with genetic algorithm (GA) is proposed. The GA methodology is based on a technique that is called multi-group arrangement method (MGAM) which arranges the genes in individuals. Numerical examples ascertained that after a number of operations based on the combination of DEPS and GA, the nearest optimal design of FTL-FF is found.
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