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Effects of Isolation in a Distributed Population Genetic Algorithm

机译:分布群体遗传算法中分离的影响

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An investigation is reported into the effects of isolation within a population upon its evolution under a genetic algorithm. The effects of varying population size were compared between a panmictic and a continuously distributed population, each offered an identical environment. Theoretical analysis predicted a logarithmic variation of performance with population size alone. Experiment confirmed such a variation in both populations. Although the distributed population always obtained superior peak fitness, no improvement in the ability to discover optima could be attributed to isolation. However, the distributed population was clearly observed to better maintain allelic diversity. Evidence was also found for the emergence of meta-stable geographical boundaries. Possible explanations are offered.
机译:在遗传算法下,将调查据报告群体在群体中的孤立效果。在持续分布的群体之间比较了不同人口大小的影响,每个人都提供了相同的环境。理论分析预测了单独的种群大小的性能对数变化。实验证实了这两个人群的这种变化。虽然分布式人口总是获得卓越的峰值健身,但没有改善发现最佳的能力可能归因于隔离。然而,清楚地观察到分布式群体以更好地保持等位基因多样性。还发现了Meta稳定地理边界的出现。提供可能的解释。

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