Influence of the constraints on the optimal problem solution using particle swarm algorithm

Maria DEMS; Sebastian ?ACHECINSKI; S?awomir WlAK

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Influence of the constraints on the optimal problem solution using particle swarm algorithm

机译：约束对粒子群算法求解最优问题的影响

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The paper presents the optimization calculation of the big power low voltage induction motor, using the selected algorithms of global optimization, i.e., particle swarm optimization PSO. The influence of the exploitation limitations and the influence of the extension of the lower and upper limits imposed on the continuous decision variables on the result of the optimal calculations were examined.

机译：本文介绍了大功率低压感应电动机的优化计算方法，它使用了选定的全局优化算法，即粒子群优化PSO。考察了开采限制的影响以及对连续决策变量施加的上限和下限的扩展对最优计算结果的影响。

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来源
《Przeglad Elektrotechniczny》 |2010年第8期|P.127-130|共4页
作者
Maria DEMS; Sebastian ?ACHECINSKI; S?awomir WlAK;
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作者单位

Technical University of Lodz, Institute of Mechatronics and Information Systems,, ul. Stefanowskiego 18/22, 90-924 Lodz, Poland;

rnAcademy of Humanities and Economics in Lodz, Department Intelligent Information Systems, 52, 64 Rewolucji 1905 r., Lodz, Poland;

rnTechnical University of Lodz, Institute of Mechatronics and Information Systems,, ul. Stefanowskiego 18/22, 90-924 Lodz, Poland;

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原文格式 PDF
正文语种 eng
中图分类
关键词
induction motors; optimization algorithms; objective function; particle swarm optimization algorithm;

机译：感应电动机;优化算法;目标函数粒子群优化算法;

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Influence of the constraints on the optimal problem solution using particle swarm algorithm

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