Optimization of big power low voltage induction motor using Hybrid Optimization Algorithms

S. Lachecinski, M. Dems
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引用次数: 8

Abstract

This paper presents results of optimization calculation of the big power low voltage induction motor. The results received by new three hybrid algorithms: GA-R, ESmu+lambda-R, PSO-R were compared. These hybrid algorithms were created by connecting three algorithms of global optimization, i.e. genetic algorithm GA, evolutionary strategy ES and particle swarm optimization PSO with a suitable modified Rosenbrock's method.
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大功率低压感应电动机的混合优化算法
本文介绍了大功率低压感应电动机的优化计算结果。比较了GA-R、ESmu+lambda-R、PSO-R三种新的混合算法得到的结果。这些混合算法是将遗传算法GA、进化策略ES和粒子群优化PSO三种全局优化算法结合适当的改进Rosenbrock方法而形成的。
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