Developing a self-learning adaptive genetic algorithm

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

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Bibliographic Details
Main Authors:	Lee, L.H., Fan, Y.
Other Authors:	INDUSTRIAL & SYSTEMS ENGINEERING
Format:	Conference or Workshop Item
Published:	2014
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/72314
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-72314
record_format	dspace
spelling	sg-nus-scholar.10635-723142015-01-12T04:56:49Z Developing a self-learning adaptive genetic algorithm Lee, L.H. Fan, Y. INDUSTRIAL & SYSTEMS ENGINEERING Proceedings of the World Congress on Intelligent Control and Automation (WCICA) 1 619-624 2014-06-19T04:53:32Z 2014-06-19T04:53:32Z 2000 Conference Paper Lee, L.H.,Fan, Y. (2000). Developing a self-learning adaptive genetic algorithm. Proceedings of the World Congress on Intelligent Control and Automation (WCICA) 1 : 619-624. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/72314 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
description	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
author2	INDUSTRIAL & SYSTEMS ENGINEERING
author_facet	INDUSTRIAL & SYSTEMS ENGINEERING Lee, L.H. Fan, Y.
format	Conference or Workshop Item
author	Lee, L.H. Fan, Y.
spellingShingle	Lee, L.H. Fan, Y. Developing a self-learning adaptive genetic algorithm
author_sort	Lee, L.H.
title	Developing a self-learning adaptive genetic algorithm
title_short	Developing a self-learning adaptive genetic algorithm
title_full	Developing a self-learning adaptive genetic algorithm
title_fullStr	Developing a self-learning adaptive genetic algorithm
title_full_unstemmed	Developing a self-learning adaptive genetic algorithm
title_sort	developing a self-learning adaptive genetic algorithm
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/72314
_version_	1681087543371628544

Developing a self-learning adaptive genetic algorithm

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