eprintid: 2493
rev_number: 7
eprint_status: archive
userid: 11
dir: disk0/00/00/24/93
datestamp: 2017-06-12 04:05:36
lastmod: 2017-06-12 04:05:36
status_changed: 2017-06-12 04:05:36
type: article
metadata_visibility: show
creators_name: Baatar, N.
creators_name: Pham, Minh Trien
creators_name: Koh, Chang Seop
creators_id: trienpm@vnu.edu.vn
title: Multiguiders and Nondominate Ranking Differential Evolution Algorithm for Multiobjective Global Optimization of Electromagnetic Problems
ispublished: pub
subjects: ElectronicsandComputerEngineering
subjects: isi
divisions: fac_fet
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
abstract: 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.
date: 2013-05
date_type: published
publisher: IEEE
full_text_status: none
publication: IEEE Transactions on Magnetics
volume: 49
number: 5
pagerange: 2105-2108
refereed: TRUE
issn: 0018-9464
citation:   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