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

Author

Guan Zailin ; Wang Chuangjian ; Huang Jinguo ; Wan Lizhi ; Shao Xinyu

Author_Institution

Dept. of Ind. & Manuf. Syst. Eng.(IMSE), Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2010

fDate

9-11 June 2010

Firstpage

1473

Lastpage

1480

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.

Keywords

genetic algorithms; large-scale systems; manufacturing systems; search problems; genetic optimization; genetic search; manufacturing systems; multi-resolution simulation; multilevel modeling; Algorithm design and analysis; Analytical models; Computational modeling; Design optimization; Environmental management; Genetics; Manufacturing systems; Object oriented modeling; Optimization methods; Production systems; Genetic optimization; Manufacturing System; Multi-Level Modeling; Multi-Resolution Simulation; Simulation Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Xiamen

ISSN

1948-3449

Print_ISBN

978-1-4244-5195-1

Electronic_ISBN

1948-3449

Type

conf

DOI

10.1109/ICCA.2010.5524439

Filename

5524439