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Genericity of the Fixed Point Set for the Infinite Population Genetic Algorithm

机译:无限群体遗传算法的固定点的常见性

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The infinite population model for the genetic algorithm, where the iteration of the genetic algorithm corresponds to an iteration of a map G, is a discrete dynamical system. The map G is a composition of a selection operator and a mixing operator, where the latter models the effects of both mutation and crossover. This paper shows that for a typical mixing operator, the fixed point set of G is finite. That is, an arbitrarily small perturbation of the mixing operator will result in a map G with finitely many fixed points. Further, any sufficiently small perturbation of the mixing operator preserves the finiteness of the fixed point set.
机译:遗传算法的无限人口模型,其中遗传算法的迭代对应于地图G的迭代,是一种离散动力系统。地图G是选择操作者和混合操作者的组成,后者模拟了突变和交叉的效果。本文示出了对于典型的混合操作员,G的固定点组是有限的。也就是说,混合操作员的任意小扰动将导致地图G具有最多的固定点。此外,混合操作者的任何足够小的扰动都可以保留固定点集的有限度。

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