On the use of pseudo-coevolutionary genetic algorithms with adaptive migration for design of power electronics regulators

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

3 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)297-300
Journal / PublicationProceedings - IEEE International Symposium on Circuits and Systems
Volume3
Publication statusPublished - 2001

Conference

Title2001 IEEE International Symposium on Circuits and Systems (ISCAS 2001)
LocationSydney Convention and Exhibition Centre
PlaceAustralia
CitySydney
Period6 - 9 May 2001

Abstract

This paper presents the use of pseudo-coevolutionary genetic algorithms for design of power electronics regulators. By using the decoupled optimization technique, the component values of the power conversion stage and feedback network are optimized with two coadapted evolutionary, training processes, in which they are classified as two isolated species and are evolved in parallel. Components from one species will asynchronously migrate into collaborations for training another species when that component set has significant enhancement in the overall regulator performance. An adaptive migration rate that improves the overall training process is proposed. This modular approach decentralizes computations and is suitable for network-based optimization. The proposed technique is illustrated with the design of a buck regulator.