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

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5 Author(s)
Zailin Guan ; Department of Industrial and Manufacturing System Engineering(IMSE), State Key Lab of Digital Manufacturing Equipment & Technology, Huazhong University of Science & Technology, Wuhan, China ; Chuangjian Wang ; Jinguo Huang ; Lizhi Wan
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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.

Published in:

Control and Automation (ICCA), 2010 8th IEEE International Conference on

Date of Conference:

9-11 June 2010