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<strong>Genetic algorithms</strong> are based on the classic view of a chromosome as a string of genes.  R.A. Fisher used this view to found mathematical genetics, providing mathematical formula specifying the rate at which particular genes would spread through a population [[#fisher1958|(Fisher, 1958)]].  Key elements of Fisher’s formulation are:  
 
<strong>Genetic algorithms</strong> are based on the classic view of a chromosome as a string of genes.  R.A. Fisher used this view to found mathematical genetics, providing mathematical formula specifying the rate at which particular genes would spread through a population [[#fisher1958|(Fisher, 1958)]].  Key elements of Fisher’s formulation are:  
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遗传算法基于染色体作为一串基因的经典观点。使用这种观点找到了数学遗传学,提供了数学公式来指定特定基因在整个种群中的扩散速率(Fisher,1958)。 费舍尔公式化的关键要素是:
    
* a specified set of alternatives (alleles) for each gene, thereby specifying the allowable strings of genes (the possible chromosomes),
 
* a specified set of alternatives (alleles) for each gene, thereby specifying the allowable strings of genes (the possible chromosomes),
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Natural selection, in this formulation, can be thought of as a procedure for searching through the set of possible individuals, the search space, to find individuals of progressively higher fitness.  Even when a natural population consists of a single species – say the current generation of humans – there is considerable variation within that population.  These variants constitute samples of the search space.
 
Natural selection, in this formulation, can be thought of as a procedure for searching through the set of possible individuals, the search space, to find individuals of progressively higher fitness.  Even when a natural population consists of a single species – say the current generation of humans – there is considerable variation within that population.  These variants constitute samples of the search space.
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在这种表述中,自然选择可以被认为是一种用于搜索可能的个体集合,搜索空间,以找到具有更高适应度的个体的过程。 即使当自然种群仅由一个物种组成时(例如,当前这一代人类),该种群中也存在相当大的差异。 这些变体构成搜索空间的样本。
    
== Definition ==
 
== Definition ==
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