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Title: Designing loudspeaker by ensemble of composite differential evolution ingredients
Authors: Zhang, X
Zhang, X
Ho, SL 
Fu, WN 
Keywords: Design optimization
Differential evolution (DE)
Ensemble method
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on magnetics, 2014, v. 50, no. 11, 6971651 How to cite?
Journal: IEEE transactions on magnetics 
Abstract: Design of electromagnetic devices has multimodal, multidimensional, and constrained characteristics. Metaheuristic approaches are good choices for tackling these design problems owing to their simulation-based property. As many electromagnetic design problems require a long computing time to solve (even on modern computers) and many heuristic approaches have been created, the major goal of this paper is to improve the effectiveness and robustness of existing approaches. This paper proposes an algorithm with the ensemble of two composite differential evolution (DE) ingredients. One ingredient is biased toward exploration and the other is biased toward exploitation. The probability of choosing which ingredient to search for new solutions is adaptively updated based on the previous performance of each ingredient. The algorithm is applied to solve a loudspeaker design problem with promising performance when compared with DE, artificial bee colony, two improved artificial bee colony algorithms, and a randomly choosing ingredients algorithm.
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2014.2320511
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