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

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 d...

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Veröffentlicht in:	IEEE transactions on magnetics Jg. 49; H. 5; S. 2105 - 2108
Hauptverfasser:	Baatar, Nyambayar, Pham, Minh-Trien, Koh, Chang-Seop
Format:	Journal Article Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.05.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Cross-disciplinary physics: materials science; rheology Differential evolution Evolution Evolutionary algorithms Exact sciences and technology Feasibility Indexes Magnetism Materials science Mathematical analysis multiguiders multiobjective optimization nondominated ranking Optimization Other topics in materials science Physics Sociology Statistics Strategy Studies Superconducting magnetic energy storage Testing Electromagnetic Analysis Methods (TEAM) problem 22 Vectors Vectors (mathematics) multiobjective optimization Electromagnetism Analysis method Testing Electromagnetic Analysis Methods (TEAM) problem 22 Investigation method multiguiders Test method Differential evolution nondominated ranking Magnetic properties
ISSN:	0018-9464, 1941-0069
Online-Zugang:	Volltext
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