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Content Provider | IEEE Xplore Digital Library |
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Author | Xin Zhang Xiu Zhang Shiu Yin Yuen Ho, S.L. Fu, W.N. |
Copyright Year | 1965 |
Abstract | Optimal design problems of electromagnetic devices are generally multimodal, nondifferentiable, and constrained. This makes metaheuristic algorithm a good choice for solving such problems. In this paper, a newly developed metaheuristic algorithm is presented to address the aforementioned issues. The proposed algorithm is based on the paradigm of artificial bee colony (ABC). A drawback of the original ABC algorithm is because its solution variation is only 1-D, as this decreases its convergence speed. In this paper, a one-position inheritance scheme is proposed to alleviate this drawback. An opposite directional (OD) search is also proposed to accelerate the convergence of the ABC algorithm. The novel algorithm is applied to both TEAM Workshop problem 22 and a loudspeaker design problem. Both discrete and continuous cases of problem 22 are tested. The effectiveness and efficiency of the proposed algorithm are demonstrated by comparing its performance with those of the original ABC, an improved ABC known as Gaussian ABC, and differential evolution algorithms. |
Sponsorship | IEEE Magnetics Society |
Starting Page | 4811 |
Ending Page | 4816 |
Page Count | 6 |
File Size | 1033993 |
File Format | |
ISSN | 00189464 |
Volume Number | 49 |
Issue Number | 8 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-08-01 |
Publisher Place | U.S.A. |
Access Restriction | One Nation One Subscription (ONOS) |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Algorithm design and analysis Loudspeakers Convergence Mathematical model Conferences Equations Linear programming TEAM Workshop problem Artificial bee colony (ABC) global optimization loudspeaker design problem metaheuristic algorithm |
Content Type | Text |
Resource Type | Article |
Subject | Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering |
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