Evolution of CIM system with genetic algorithm

Author

Morikawa, Koji ; Furuhashi, Takeshi ; Uchikawa, Yoshiki

Author_Institution

Dept. of Inf. Eng., Nagoya Univ., Japan

fYear

1994

fDate

27-29 Jun 1994

Firstpage

746

Abstract

The paper presents a basic concept of evolution of computer integrated manufacturing (CIM) with genetic algorithm (GA). The paper presents a multi-agent model of the CIM system. Each agent solves its own manufacturing problem independently using the GA and has a function of strategic search through interactions with the environment. The new model can produce better solutions. This method is applied to job shop scheduling problem and transportation problem. The results show that the proposed system has a high potential for the CIM

Keywords

computer integrated manufacturing; genetic algorithms; production control; scheduling; CIM system; computer integrated manufacturing; genetic algorithm; job shop scheduling problem; manufacturing problem; multi-agent model; strategic search; transportation problem; Artificial intelligence; Computer aided manufacturing; Computer integrated manufacturing; Consumer electronics; Genetic algorithms; Job design; Job shop scheduling; Manufacturing processes; Production; Transportation;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1899-4

Type

conf

DOI

10.1109/ICEC.1994.349963

Filename

349963