Title :
Optimal design of electro - permanent magnet lifter using improved niching genetic algorithm
Author :
Bum-Joo Lee ; Sang-Yeop Kwak ; Jang-Ho Seo ; Sang-Yub Lee
Author_Institution :
Seoul Nat. Univ., Seoul
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 :
design engineering; genetic algorithms; lifting equipment; permanent magnet machines; steel industry; EPML; GA; auto-tuning; electro-permanent magnet lifter; machine mechanism; niching genetic algorithm; optimal design; steel industry; Algorithm design and analysis; Building materials; Genetic algorithms; Hydraulic systems; Iron; Magnetic materials; Metals industry; Permanent magnets; Power system reliability; Shape; Auto-tuning concept; detecting trace; electro-permanent magnet lifter; niching genetic algorithm;
Conference_Titel :
Electrical Machines and Systems, 2007. ICEMS. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-86510-07-2
Electronic_ISBN :
978-89-86510-07-2
