Application of genetic algorithms to determine worst-case switching overvoltage of MRT systems

IEE Proceedings: Electric Power Applications

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Bibliographic Details
Main Authors:	Chang, W.Q., Jiang, S., Eiangovan
Other Authors:	CENTRE FOR WIRELESS COMMUNICATIONS
Format:	Article
Published:	2014
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/112218
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-112218
record_format	dspace
spelling	sg-nus-scholar.10635-1122182015-02-01T16:57:26Z Application of genetic algorithms to determine worst-case switching overvoltage of MRT systems Chang, W.Q. Jiang, S. Eiangovan CENTRE FOR WIRELESS COMMUNICATIONS IEE Proceedings: Electric Power Applications 146 1 81-87 IEPAE 2014-11-28T04:58:37Z 2014-11-28T04:58:37Z 1999 Article Chang, W.Q.,Jiang, S.,Eiangovan (1999). Application of genetic algorithms to determine worst-case switching overvoltage of MRT systems. IEE Proceedings: Electric Power Applications 146 (1) : 81-87. ScholarBank@NUS Repository. 13502352 http://scholarbank.nus.edu.sg/handle/10635/112218 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
description	IEE Proceedings: Electric Power Applications
author2	CENTRE FOR WIRELESS COMMUNICATIONS
author_facet	CENTRE FOR WIRELESS COMMUNICATIONS Chang, W.Q. Jiang, S. Eiangovan
format	Article
author	Chang, W.Q. Jiang, S. Eiangovan
spellingShingle	Chang, W.Q. Jiang, S. Eiangovan Application of genetic algorithms to determine worst-case switching overvoltage of MRT systems
author_sort	Chang, W.Q.
title	Application of genetic algorithms to determine worst-case switching overvoltage of MRT systems
title_short	Application of genetic algorithms to determine worst-case switching overvoltage of MRT systems
title_full	Application of genetic algorithms to determine worst-case switching overvoltage of MRT systems
title_fullStr	Application of genetic algorithms to determine worst-case switching overvoltage of MRT systems
title_full_unstemmed	Application of genetic algorithms to determine worst-case switching overvoltage of MRT systems
title_sort	application of genetic algorithms to determine worst-case switching overvoltage of mrt systems
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/112218
_version_	1681094446447329280

Application of genetic algorithms to determine worst-case switching overvoltage of MRT systems

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