Optimization of manufacturing systems using Genetic Search and Muti-resolution simulation

Z. Guan, Chuangjian Wang, Jinguo Huang, Lizhi Wan, X. Shao
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引用次数: 6

Abstract

This paper presents a method for the optimization of manufacturing systems by using Genetic Search and Multi-level Modeling Multi-resolution Simulation. The method can realize genetic optimization for manufacturing systems by using multi-resolution simulation which is based on the multi-level modeling. This paper focuses on the design of the genetic optimization searching algorithm and the optimization of a complex manufacturing system, through the comprehensive use of relevant methods in order to optimize in parallel the target system's structure parameters and operational behaviors with a reasonable time-effectiveness performance.
基于遗传搜索和多分辨率仿真的制造系统优化
提出了一种基于遗传搜索和多级建模多分辨率仿真的制造系统优化方法。该方法通过基于多级建模的多分辨率仿真,实现了制造系统的遗传优化。本文重点研究了遗传优化搜索算法的设计和复杂制造系统的优化问题,通过综合运用相关方法,对目标系统的结构参数和运行行为进行并行优化,使其具有合理的时效性。
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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