Inverse shape optimization using dynamically adjustable genetic algorithms

被引：9
|
作者：
Cingoski, V [1 ]
Kaneda, K
Yamashita, H
Kowata, N
机构：
[1] Hiroshima Univ, Higashihiroshima 739, Japan
[2] Toa Med Elect Co Ltd, Kobe, Hyogo, Japan
来源：
IEEE TRANSACTIONS ON ENERGY CONVERSION | 1999年 / 14卷 / 03期
关键词：
inverse optimization; genetic algorithm; rotation machines; design of pole face; die mold; spline functions;
D O I：
10.1109/60.790932
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, a new dynamically adjustable genetic algorithm for inverse shape optimization of electrical devices is proposed. The algorithm starts with initial population which is not entirely randomly defined and dynamically changes the position and the width of the searching space as the searching procedure evolves with time and the objective function approaches its optimum. The proposed algorithm is successfully applied for inverse shape optimization of a die mold press machine and for pole shape optimization of a rotating machine. To achieve smooth pole face the optimized shape is defined using several control points and ordinary spline functions.
引用
收藏
页码：661 / 666
页数：6
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