Optimal design of electro-permanent magnet lifter using improved auto-tuning niching genetic algorithm

Bum Joo Lee; Jang Ho Seo; Sang Yeop Kwak; Sang Yeop Lee; Hyun Kyo Jung

Optimal design of electro-permanent magnet lifter using improved auto-tuning niching genetic algorithm

Bum Joo Lee, Jang Ho Seo, Sang Yeop Kwak, Sang Yeop Lee, Hyun Kyo Jung

School of Automotive Engineering

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	783-788
Number of pages	6
Journal	Transactions of the Korean Institute of Electrical Engineers
Volume	57
Issue number	5
State	Published - May 2008

Keywords

Auto-tuning
Detecting trace,
Electro-permanent magnet lifter
Niching genetic algorithm

Cite this

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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.",

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AU - Jung, Hyun Kyo

PY - 2008/5

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AB - 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.

KW - Auto-tuning

KW - Detecting trace,

KW - Electro-permanent magnet lifter

KW - Niching genetic algorithm

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Optimal design of electro-permanent magnet lifter using improved auto-tuning niching genetic algorithm

Abstract

Keywords

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