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From Recombination of Genes to the Estimation of Distributions I. Binary Parameters

机译:从基因的重组到分布I.二元参数的估计

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The Breeder Genetic Algorithm (BGA) is based on the equation for the response to selection. In order to use this equation for prediction, the variance of the fitness of the population has to be estimated. For the usual sexual recombination the computation can be difficult. In this paper we shortly state the problem and investigate several modifications of sexual recombination. The first method is gene pool recombination, which leads to marginal distribution algorithms. In the last part of the paper we discuss more sophisticated methods, based on estimating the distribution of promising points.
机译:育种者遗传算法(BGA)基于对选择响应的等式。为了使用这种方程进行预测,必须估计群体的适应性的方差。对于通常的性重组,计算可能很困难。在本文中,我们很快就会解决问题并调查了性重组的几种修改。第一种方法是基因库重组,这导致边缘分布算法。在论文的最后一部分,我们讨论了更复杂的方法,基于估计有前景点的分布。

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