Please use this identifier to cite or link to this item:
|Title:||An emigration genetic algorithm and its application to multiobjective optimal designs of electromagnetic devices|
Genetic algorithm (GA)
|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|
|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.
|Appears in Collections:||Journal/Magazine Article|
Show full item record
Files in This Item:
|emigration-genetic_04.pdf||126.38 kB||Adobe PDF||View/Open|
Checked on Feb 7, 2016
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.