Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Optimum design of Linear Induction Motor Using Genetic Algorithm and Neural Network

유전 알고리즘과 신경 회로망을 이용한 선형 유도전동기 최적 설계

  • Lee, Ju-Hyun (Dept. of Electrical Engineering Hoseo University) ;
  • Kim, Hong-Sik (Dept. of Electrical Engineering Hoseo University) ;
  • Kim, Chang-Eob (Dept. of Electrical Engineering Hoseo University)
  • Published : 2002.11.14
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Abstract

The paper presents the optimum design of a linear induction motor(LIM) using Genetic algorithm, Neural Network and SUMT. The design variables are optimized by three different optimization methods and the results are discussed.

Keywords