Genetic algorithms for manufacturing cell formation: An examination of the critical issue - Representation

Xiaodan Wu, Yunfeng Wang, Dianmin Yue, Chao Hsien Chu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

During the past decade, genetic algorithms (GA) are being used as an alternative in cell design. This study will make an extensive literature survey of genetic algorithm's application in cell formation. We gave a summary of the contrast of GA with other soft-computation approach. The summary and statistic analysis, from the viewpoint of the critical issue - representation is provided for the communication of problem and GA as well as guiding its perfect design. Also, all of prior representation methods are presented and their examples, advantage and disadvantage are compared with each other. Finally, the conclusions and future research are offered.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Artificial Intelligence, IC-AI'04 and Proceedings of the International Conference on Machine Learning; Models, Technologies and Applications, MLMTA'04)
EditorsH.R. Arabnia, M. Youngsong
Pages1140-1146
Number of pages7
Volume2
StatePublished - 2004
EventProceedings of the International Conference on Artificial Intelligence, IC-AI'04 - Las Vegas, NV, United States
Duration: Jun 21 2004Jun 24 2004

Other

OtherProceedings of the International Conference on Artificial Intelligence, IC-AI'04
Country/TerritoryUnited States
CityLas Vegas, NV
Period6/21/046/24/04

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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