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首页> 外文期刊>International journal of computing science and mathematics >Estimation of distribution algorithms based on two copula selection methods
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Estimation of distribution algorithms based on two copula selection methods

机译:基于两种关联选择方法的分布算法估计

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摘要

In order to solve the copula selection problem, an innovative method, called switched copula selection method is introduced, which is inspired by the mixed copula selection method. The new method can ignore how to determine a fixed copula beforehand, whereas it organises different kinds of copulas through a copula selection pool. Applying copula selection methods to estimation of distribution algorithms (EDAs), the procedures of proposed mixed copula-EDAs and switched copula-EDAs are described in detail. Comparing with the single copula-EDAs, the experiment results show that switched copula-EDAs is easy to implement and provides a balance between accuracy and efficiency of the copula selection, in the meantime it promotes the performance whereas the computation complexity is almost the same.
机译:为了解决系动词选择问题,在混合系动词选择方法的启发下,提出了一种称为交换系动词选择法的创新方法。新方法可以忽略如何预先确定固定的copula,而通过copula选择池组织不同种类的copula。运用copula选择方法估计分布算法(EDA),详细描述了提出的混合copula-EDA和交换copula-EDA的过程。与单个copula-EDA相比,实验结果表明,切换copula-EDA易于实现,并且在copula选择的准确性和效率之间取得了平衡,同时它提高了性能,而计算复杂度几乎相同。

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