Title :
On the use of pseudo-coevolutionary genetic algorithms with adaptive migration for design of power electronics regulators
Author :
Zhang, J. ; Wu, Angus K M ; Chung, Henry S H
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
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
Keywords :
DC-DC power convertors; circuit CAD; circuit feedback; circuit optimisation; genetic algorithms; power electronics; switching circuits; voltage regulators; adaptive migration; buck regulator design; coadapted evolutionary training processes; component values; decoupled optimization technique; feedback network; modular approach; network-based optimization; power conversion stage; power electronic regulator design; pseudo-coevolutionary genetic algorithms; training process; Algorithm design and analysis; Collaboration; Electronics packaging; Feedback; Genetic algorithms; Inductors; Personal communication networks; Power conversion; Power electronics; Regulators;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921306
