@inproceedings{1912ef5b4ba849af9c215f234666db65,
title = "Optimal design of Electro-Permanent Magnet Lifter using improved niching Genetic Algorithm",
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 concept, Detecting trace, Electro-permanent magnet lifter, Niching genetic algorithm",
author = "Lee, {Bum Joo} and Kwak, {Sang Yeop} and Seo, {Jang Ho} and Lee, {Sang Yub} and Jung, {Hyun Kyo}",
year = "2007",
doi = "10.1109/ICEMS12746.2007.4412219",
language = "English",
isbn = "8986510081",
series = "Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007",
publisher = "IEEE Computer Society",
pages = "916--919",
booktitle = "Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007",
address = "United States",
note = "International Conference on Electrical Machines and Systems, ICEMS 2007 ; Conference date: 08-10-2007 Through 11-10-2007",
}