Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24901
Title: An improved vector evolutionary algorithm for multiobjective designs of electromagnetic devices
Authors: Nie, M
Yang, S
Ni, G
Ho, SL 
Ni, P
Keywords: Evolutionary algorithm
Multiobjective optimization
Optimal design
Pareto optimal
Issue Date: 2007
Publisher: IOS Press
Source: International journal of applied electromagnetics and mechanics, 2007, v. 25, no. 1-4, p. 711-715 How to cite?
Journal: International journal of applied electromagnetics and mechanics 
Abstract: Thanks to the success in the design of a simple sharing function, the introduction of a novel fitness assignment strategy, and the development of a new local search procedure, this paper proposes an improved evolutionary algorithm for optimal problems involving several, often conflicting objectives. The simulation results on solving a mathematical function and a prototype problem reveal that the proposed method is effective in sampling the entire Pareto-optimal front and in distributing the generated solutions over the trade-off surface.
URI: http://hdl.handle.net/10397/24901
ISSN: 1383-5416 (print)
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