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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1109

Title: An emigration genetic algorithm and its application to multiobjective optimal designs of electromagnetic devices
Authors: Wang, Yuhuai
Yang, Shiyou
Ni, Guangzheng
Ho, Siu-lau
Liu, Z. J.
Subjects: Emigration operator
Genetic algorithm (GA)
Numerical method
Vector optimization
Issue Date: Mar-2004
Publisher: IEEE
Citation: IEEE transactions on magnetics, Mar. 2004, v. 40, no. 2, p. 1240-1243
Abstract: The emigration genetic algorithm, which is a genetic-based algorithm, is proposed to obtain the Pareto optimal solution of vector optimal designs of electromagnetic devices. The proposed algorithm differs from the traditional ones in its design of an emigration operator as well as the inclusion of some useful approaches such as the fitness sharing, clustering, and elitism strategy. Detailed numerical results on three different multiobjective design problems are reported to demonstrate the effectiveness and advantages of the proposed algorithm for solving practical engineering multi-objective optimal design problems
Rights: © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/1109
ISSN: 00189464
Appears in Collections:EE Journal/Magazine Articles

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