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Title: An emigration genetic algorithm and its application to multiobjective optimal designs of electromagnetic devices
Authors: Wang, Y
Yang, S
Ni, G
Ho, SL 
Liu, ZJ
Keywords: Emigration operator
Genetic algorithm (GA)
Numerical method
Vector optimization
Issue Date: Mar-2004
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on magnetics, Mar. 2004, v. 40, no. 2, p. 1240-1243 How to cite?
Journal: IEEE transactions on magnetics 
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
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2004.824780
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.
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