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首页> 外文期刊>International Journal of Artificial Intelligence Tools: Architectures, Languages, Algorithms >Imperialist Competitive Algorithm with Updated Assimilation for the Solution of Real Valued Optimization Problems
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Imperialist Competitive Algorithm with Updated Assimilation for the Solution of Real Valued Optimization Problems

机译：帝国主义竞争算法具有更新的同化，用于解决实际值得优化问题的解决方案

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摘要

In this paper, an improved imperialistic competitive algorithm is presented for real-valued optimization problems. A new method is introduced for the movement of colonies towards their imperialist, which is called assimilation. The proposed method uses Euclidean distance along with Pearson correlation coefficient as an operator for assimilating colonies with respect to their imperialists. Applications of the proposed algorithm to classical and recently published hard benchmark problems, and statistical analysis associated with the corresponding experimental results illustrated that the achieved success is significantly better than a number of state-of-the art methods.
机译：本文提出了一种改进的帝国主义竞争算法，用于实验性优化问题。 引入了殖民地对帝国主义的动作的新方法，被称为同化。 所提出的方法使用欧几里德距离以及Pearson相关系数作为用于在帝国主义者同化殖民地的运营商。 所提出的算法在经典和最近公布的硬基准问题中的应用，以及与相应的实验结果相关的统计分析，说明所取得的成功明显优于最先进的方法。

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