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

J. Zhang; A. K M Wu; H. S H Chung

doi:10.1109/ISCAS.2001.921306

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

J. Zhang
, A. K M Wu
, H. S H Chung

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

3 Citations (Scopus)

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.

Original language	English
Pages (from-to)	297-300
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	3
DOIs	https://doi.org/10.1109/ISCAS.2001.921306
Publication status	Published - 2001
Event	2001 IEEE International Symposium on Circuits and Systems (ISCAS 2001) - Sydney Convention and Exhibition Centre, Sydney, Australia Duration: 6 May 2001 → 9 May 2001

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

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.",

author = "J. Zhang and Wu, \{A. K M\} and Chung, \{H. S H\}",

year = "2001",

doi = "10.1109/ISCAS.2001.921306",

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pages = "297--300",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

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note = "2001 IEEE International Symposium on Circuits and Systems (ISCAS 2001) ; Conference date: 06-05-2001 Through 09-05-2001",

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AU - Zhang, J.

AU - Wu, A. K M

AU - Chung, H. S H

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0035016259

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0035016259&origin=recordpage

U2 - 10.1109/ISCAS.2001.921306

DO - 10.1109/ISCAS.2001.921306

M3 - RGC 22 - Publication in policy or professional journal

SN - 0271-4310

VL - 3

SP - 297

EP - 300

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - 2001 IEEE International Symposium on Circuits and Systems (ISCAS 2001)

Y2 - 6 May 2001 through 9 May 2001

ER -

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

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