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Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

ISO Journal TitleJ Korean Inst. IIIum. Electr. Install. Eng.
Title Optimum Design of a Linear Induction Motor using Genetic Algorithm and Neural Network
Authors Chang-Eob Kim
Page pp.29-35
ISSN 1225-1135
Abstract In this paper, a new optimum design method is proposed for the linear induction motor(LIM). The Genetic Neural Network(GNN) is introduced in the optimum design of LIM and the simulation result is compared with the Genetic Algorithm(GA) and Neural Network(NN). The maximum thrust and trust/weight are selected as the object functions. The comparison showed that the proposed method is better than GA and NN.