Paper Info
Title
Evolution of CIM system with genetic algorithm
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
Year
DOI
Venue
1994
10.1109/ICEC.1994.349963
International Conference on Evolutionary Computation
Keywords
Field
DocType
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
Computer-aided manufacturing,Job shop scheduling,Production control,Industrial engineering,Job design,Computer science,Scheduling (computing),Computer-integrated manufacturing,Transportation theory,Artificial intelligence,Machine learning,Genetic algorithm
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Koji Morikawa100.34
Takeshi Furuhashi253786.15
Yoshiki Uchikawa345572.31