大功率低压感应电动机的混合优化算法

2008 18th International Conference on Electrical Machines Pub Date : 2008-09-01 DOI:10.1109/ICELMACH.2008.4799968

S. Lachecinski, M. Dems

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引用次数: 8

摘要

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

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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2008 18th International Conference on Electrical Machines

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