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

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

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

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

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings 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)
Editors	H.R. Arabnia, M. Youngsong
Pages	1140-1146
Number of pages	7
Volume	2
State	Published - 2004
Event	Proceedings of the International Conference on Artificial Intelligence, IC-AI'04 - Las Vegas, NV, United States Duration: Jun 21 2004 → Jun 24 2004

Other

Other	Proceedings of the International Conference on Artificial Intelligence, IC-AI'04
Country/Territory	United States
City	Las Vegas, NV
Period	6/21/04 → 6/24/04

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

Wu, X., Wang, Y., Yue, D., & Chu, C. H. (2004). Genetic algorithms for manufacturing cell formation: An examination of the critical issue - Representation. In H. R. Arabnia, & M. Youngsong (Eds.), Proceedings 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) (Vol. 2, pp. 1140-1146)

Wu, Xiaodan ; Wang, Yunfeng ; Yue, Dianmin et al. / Genetic algorithms for manufacturing cell formation : An examination of the critical issue - Representation. Proceedings 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). editor / H.R. Arabnia ; M. Youngsong. Vol. 2 2004. pp. 1140-1146

@inproceedings{ff3ed44352ea434cbee4d4acf1054c7a,

title = "Genetic algorithms for manufacturing cell formation: An examination of the critical issue - Representation",

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.",

author = "Xiaodan Wu and Yunfeng Wang and Dianmin Yue and Chu, {Chao Hsien}",

year = "2004",

language = "English (US)",

isbn = "1932415335",

volume = "2",

pages = "1140--1146",

editor = "H.R. Arabnia and M. Youngsong",

booktitle = "Proceedings 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)",

note = "Proceedings of the International Conference on Artificial Intelligence, IC-AI'04 ; Conference date: 21-06-2004 Through 24-06-2004",

}

Wu, X, Wang, Y, Yue, D & Chu, CH 2004, Genetic algorithms for manufacturing cell formation: An examination of the critical issue - Representation. in HR Arabnia & M Youngsong (eds), Proceedings 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). vol. 2, pp. 1140-1146, Proceedings of the International Conference on Artificial Intelligence, IC-AI'04, Las Vegas, NV, United States, 6/21/04.

Genetic algorithms for manufacturing cell formation: An examination of the critical issue - Representation. / Wu, Xiaodan; Wang, Yunfeng; Yue, Dianmin et al.
Proceedings 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). ed. / H.R. Arabnia; M. Youngsong. Vol. 2 2004. p. 1140-1146.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Genetic algorithms for manufacturing cell formation

T2 - Proceedings of the International Conference on Artificial Intelligence, IC-AI'04

AU - Wu, Xiaodan

AU - Wang, Yunfeng

AU - Yue, Dianmin

AU - Chu, Chao Hsien

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=12744273888&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=12744273888&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:12744273888

SN - 1932415335

SN - 9781932415339

VL - 2

SP - 1140

EP - 1146

BT - Proceedings 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)

A2 - Arabnia, H.R.

A2 - Youngsong, M.

Y2 - 21 June 2004 through 24 June 2004

ER -

Wu X, Wang Y, Yue D, Chu CH. Genetic algorithms for manufacturing cell formation: An examination of the critical issue - Representation. In Arabnia HR, Youngsong M, editors, Proceedings 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). Vol. 2. 2004. p. 1140-1146

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

Abstract

Other

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this