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From Recombination of Genes to the Estimation of Distributions II. Continuous Parameters

机译:从基因的重组到分布II的估计。连续参数

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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 this can be difficult. In this paper the new points (offspring) are generated from distributions, a uniform distribution and a distribution generated by univariate marginal distributions. For a class of unimodal fitness functions the performance of the BGA is analytically computed. The results are compared to gene recombination methods. The uniform distribution is approximately generated by line recombination; recombination methods acting independently on each gene approximate the second distribution.
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,这可能是困难的。在本文中,新的点(后代)由分布,统一分布和由单变量边缘分布产生的分布产生。对于一类单峰的健身功能,对BGA的性能进行了分析计算。将结果与基因重组方法进行比较。均匀分布大致通过线重组产生;重组方法在每个基因上独立作用,近似第二分布。

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