Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1099
Title: An efficient multiobjective optimizer based on genetic algorithm and approximation techniques for electromagnetic design
Authors: Ho, Siu-lau
Yang, Shiyou
Ni, Guangzheng
Wong, K. F.
Subjects: Approximation theory
Logic design
Magnetoelectric effects
Numerical analysis
Optimization
Pareto principle
Issue Date: 2006
Publisher: IEEE
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.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1099
ISBN: 1424403200
Appears in Collections:EE Conference Papers & Presentations

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