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应用改进实数编码遗传算法的三相异步电动机优化设计
!2005, 32( 2) 1
应用改进实数编码遗传算法的三相
异步电动机优化设计
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Application of Improved R ealcoded Genetic
A lgorithm to Threephase Induction
M otors Optim al Design
H an L ,i L i Jingcan
( Chongq ing Un iversity)
Abstract For the better pplic tion ofG eneticA lgorithm in the optmi um design
of 3ph se induction motors, n Improved R e lcoded GeneticA lgorithm ( IRGA) is
developed, wh ich h s self d pt ble mut tion oper tor, multiturns evolu tion str tegy
nd nne ling pen lty function for solving nonline r restr ined optmi iz tion problem s.
The mi proved lgorithm is tested by three cl ssic l m them tic l ex mp les. Accord
ing to the fe ture of 3ph se induction motors, m them tic lmodel of optmi um de
sign of 3ph se induction motors is est blished. The lgorithm is pplied to the opti
m l design ofY seriesmotors. The resu lts show th t IRGA c n mi prove the oper tion
perform nce nd decre se the econom ic costs obviously, nd these show th t the lgo
rithm is reli b le, v lid nd su it b le to the pplic tion in the engineering.
K ey w ord s Threeph se induction motor Op tmi um design Genetic lgorithm
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