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Diploid Genetic Algorithm with Mortality

机译:具有死亡率的二倍体遗传算法

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摘要

The method of perfection of diploid genetic algorithm of optimization by means of probabilistic reduction of duration of existence of individual was suggested. Average duration of individual life is defined depending on population size, based on Haldane's estimation of cost for substitute. Law and parameters of distribution of probability of individual mortality were determined by data of demographic statistics. We showed efficiency of method on development of problems of synthesis of forward directed neural networks.
机译:提出了通过概率降低个体生存时间来优化遗传的二倍体遗传算法的方法。根据霍尔丹对替代成本的估算,根据人口规模确定平均寿命。个体死亡概率分布的规律和参数由人口统计学数据确定。我们展示了该方法对发展前向神经网络综合问题的效率。

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