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Title: A tabu method to find the Pareto solutions of multiobjective optimal design problems in electromagnetics
Authors: Ho, SL 
Yang, S
Ni, G
Wong, HCC
Keywords: Fitness sharing
Multiobjective optimization
Tabu search
Vector optimization
Issue Date: Mar-2002
Publisher: IEEE
Source: IEEE transactions on magnetics, Mar. 2002, v. 38, no. 2, p. 1013-1016 How to cite?
Journal: IEEE transactions on magnetics 
Abstract: A tabu search algorithm is proposed for finding the Pareto solutions of multiobjective optimal design problems. In this paper, the contact theorem is used to evaluate the Pareto solutions. The ranking selecting approach and the fitness sharing function are also introduced to identify new current points to begin every iteration cycle. Detailed numerical results are reported in this paper to demonstrate the power of the proposed algorithm in ensuring uniform sampling and obtaining the Pareto optimal front of the multiobjective design problems. The most efficient method of implementing the proposed algorithm is also discussed.
ISSN: 0018-9464
DOI: 10.1109/20.996260
Rights: © 2002 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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