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Multiguiders and Nondominate Ranking Differential Evolution Algorithm for Multiobjective Global Optimization of Electromagnetic Problems

Baatar, N. and Pham, Minh Trien and Koh, Chang Seop (2013) Multiguiders and Nondominate Ranking Differential Evolution Algorithm for Multiobjective Global Optimization of Electromagnetic Problems. IEEE Transactions on Magnetics, 49 (5). pp. 2105-2108. ISSN 0018-9464

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The differential evolution (DE) algorithm was initially developed for single-objective problems and was shown to be a fast, simple algorithm. In order to utilize these advantages in real-world problems it was adapted for multiobjective global optimization (MOGO) recently. In general multiobjective differential evolutionary algorithm, only use conventional DE strategies, and, in order to optimize performance constrains problems, the feasibility of the solutions was considered only at selection step. This paper presents a new multiobjective evolutionary algorithm based on differential evolution. In the mutation step, the proposed method which applied multiguiders instead of conventional base vector selection method is used. Therefore, feasibility of multiguiders, involving constraint optimization problems, is also considered. Furthermore, the approach also incorporates nondominated sorting method and secondary population for the nondominated solutions. The propose algorithm is compared with resent approaches of multiobjective optimizers in solving multiobjective version of Testing Electromagnetic Analysis Methods (TEAM) problem 22.

Item Type: Article
Uncontrolled Keywords: electrical engineering computing;evolutionary computation;optimisation;MOGO;Testing Electromagnetic Analysis Methods;constraint optimization problems;conventional DE strategies;conventional base vector selection method;electromagnetic problems;multiguider feasibility;multiguiders;multiobjective differential evolutionary algorithm;multiobjective evolutionary algorithm;multiobjective global optimization;multiobjective optimizers;mutation step;nondominate ranking differential evolution algorithm;nondominated solutions;nondominated sorting method;performance constrain problems;real-world problem;secondary population;single-objective problems;Differential evolution;Testing Electromagnetic Analysis Methods (TEAM) problem 22;multiguiders;multiobjective optimization;nondominated ranking
Subjects: Electronics and Communications > Electronics and Computer Engineering
ISI-indexed journals
Divisions: Faculty of Electronics and Telecommunications (FET)
Depositing User: Dr Minh Trien Pham
Date Deposited: 12 Jun 2017 04:05
Last Modified: 12 Jun 2017 04:05

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