Please use this identifier to cite or link to this item:
|Title:||An efficient multiobjective optimizer based on genetic algorithm and approximation techniques for electromagnetic design|
Wong, K. F.
|Source:||IEEE CEFC 2006 : 12th Biennial IEEE Conference of Electromagnetic Field Computation : April 30-May 3, 2006, Miami, Florida, USA, p. 230.|
|Abstract:||In order to use the information gathered from all non-dominated solutions of an optimizer and to guide the search toward more and better Pareto solutions, this paper proposes an efficient and robust vector optimal algorithm that integrates approximation techniques into an improved genetic algorithm. Numerical results are reported to validate the proposed work.|
|Rights:||© 2006 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:||EE Conference Papers & Presentations|
Files in This Item:
|multiobjective-optimizer_06.pdf||381.1 kB||Adobe PDF||View/Open|
All items in the PolyU Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated. No item in the PolyU IR may be reproduced for commercial or resale purposes.