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Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection

机译:基于混合多种群的控制器结构和参数选择方法

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Population-based algorithms are used to solve optimization problems. In order to improve their efficiency, new ways of processing the population are investigated. One approach is to use many populations which operations are synchronized with each other. In this article, we propose a new approach in which specified populations are processed using different population algorithms. It has been tested for a known practical problem of selecting the structure and parameters of the controller.
机译:基于总体的算法用于解决优化问题。为了提高其效率,研究了处理人口的新方法。一种方法是使用许多种群,这些种群的运作是相互同步的。在本文中,我们提出了一种新方法,其中使用不同的种群算法处理指定的种群。已经针对选择控制器的结构和参数的已知实际问题进行了测试。

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