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Optimal Design of Electro-Permanent Magnet Lifter Using Improved Auto-Tuning Niching Genetic Algorithm  

Lee, Bum-Joo (서울대학교 공과대학 전기역학 연구실)
Seo, Jang-Ho (서울대학교 공과대학 전기역학 연구실)
Kwak, Sang-Yeop (서울대학교 공과대학 전기역학 연구실)
Lee, Sang-Yeop (서울대학교 공과대학 전기역학 연구실)
Jung, Hyun-Kyo (서울대 공대 전기컴퓨터공학부)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.5, 2008 , pp. 783-788 More about this Journal
Abstract
This paper presents the mechanism of the machine and the numerical result of attractive force in the Electro-Permanent Magnet Lifter (EPML) and an improved niching Genetic Algorithm (GA) applying the concept of auto-tuning and detecting traces. Population size and both (right and left) niche radii of each peak in an asymmetrical objective function can be determined automatically. The validity of the proposed method is verified by simulation results.
Keywords
Auto-tuning; Detecting trace; Niching Genetic Algorithm; Electro-Permanent Magnet Lifter;
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