Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1994.07a
- /
- Pages.165-167
- /
- 1994
Multi-Objective Optimization Technique Using Genetic Algorithm and Its Application to Design of Linear Induction Motor
유전알고리즘을 이용한 선형유도전동기의 다중목적 최적설계
- Ryu, K.B. (R&D Institute, Hyosung Industries Co., Ltd.) ;
-
Choi, Y.J.
(R&D Institute, Hyosung Industries Co., Ltd.)
;
- Kim, C.E. (R&D Institute, Hyosung Industries Co., Ltd.) ;
- Kim, S.W. (R&D Institute, Hyosung Industries Co., Ltd.) ;
- Park, Y.C. (R&D Institute, Hyosung Industries Co., Ltd.) ;
- Kim, J.H. (R&D Institute, Hyosung Industries Co., Ltd.) ;
- Im, D.H. (Dept. of Electrical Eng., Hanyang University)
- 류근배 (효성중공업(주) 기술연구소) ;
-
최영준
(효성중공업(주) 기술연구소)
;
- 김창업 (효성중공업(주) 기술연구소) ;
- 김송웅 (효성중공업(주) 기술연구소) ;
- 박영춘 (효성중공업(주) 기술연구소) ;
- 김중한 (효성중공업(주) 기술연구소) ;
- 임달호 (한양대학교 전기공학과)
- Published : 1994.07.21
Abstract
This paper presents a new method for multiobjective optimization using Genetic Algorithm-Sexual Reproduction Model(SR model). In SR model, each individual consists of chromosome pairs. Sex cells(gametes) are produced through artificial meiosis in which crossover and mutation occur, The proposed method has two selection operators, one, individual selection which selects the individual to fertilize, and the other, gamete selection which makes zygote for offspring production, The two selection schemes are repectively conducted according to different fitness(or objective) function and consequently give a solution which is unbiased to any objectives. We apply the proposed method to optimization of the design parameters of Linear Induction Motor(LIM) and show its effectiveness.
Keywords