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An Intelligent Scatter with Estimation of Distribution for Tabu Search

机译:具有禁忌搜索分布估计的智能散点图

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摘要

This paper proposes an efficient optimization algorithm based on tabu search and estimation of distribution algorithms. The proposed algorithm estimates characteristics of distribution of solutions after performing tabu searches based on a marginal product model to acquire linkage information. Once correct linkage information is obtained, we can perform crossovers effectively without disrupting building blocks using the information. The proposed algorithm is expected to adapt to both global and local characteristics of solution space. Through empirical studies, we show the effectiveness of our approach.
机译:提出了一种基于禁忌搜索和分布估计的高效优化算法。该算法基于边际乘积模型进行禁忌搜索后估计解的分布特征,以获取关联信息。一旦获得正确的链接信息,我们就可以有效地进行交叉,而不会破坏使用该信息的构件。预期所提出的算法将适应解空间的全局和局部特征。通过实证研究,我们证明了我们方法的有效性。

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