Genetic algorithm engineering support tool for system optimization

Author

Kobayashi, Yasunori ; Kawai, Shigeharu ; Sannomiya, Nobuo

Author_Institution

Fuji Facom Corp., Tokyo, Japan

Volume

2

fYear

1995

fDate

6-10 Nov 1995

Firstpage

1592

Abstract

The genetic algorithm (GA) is expected to be a new technique for solving optimization problems. However, its standard procedure has not been established yet. In this paper, the engineering work which is necessary to make the GA function effectively as a system optimizing technique has been clarified and a supporting tool has been developed. The merit of this tool is that it allows the GA to be easily applied, to facilitate the trial and error method efficiently and to analyze and evaluate the results obtained in comparison with other techniques. This time, we solved an operation assignment problem by this tool. We propose the functions of this tool and report the results of these problems obtained by GA in this tool

Keywords

engineering computing; genetic algorithms; scheduling; system theory; engineering support tool; genetic algorithm; operation assignment problem; scheduling; system optimization; trial and error method; Environmental factors; Frequency; Genetic algorithms; Genetic engineering; Genetic mutations; Job shop scheduling; Production facilities; Scheduling algorithm; Search methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-3026-9

Type

conf

DOI

10.1109/IECON.1995.484188

Filename

484188