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A Novel Approach to Reduce the Effect of Initial Population on Simple Genetic Algorithm

机译:减少初始种群对简单遗传算法影响的新方法

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摘要

In this paper, a novel technique in reducing the sensitivity of initial population on Simple Genetic Algorithm (SGA) is reported. Instead of solely relying on mutation to introduce new schema, a small group of migrant chromosomes is injected at each generation to the mating pool. This mechanism provides more chances for correct schema to be included with less probability of destroying existing ones. Experimental results demonstrate that the new approach adopted in SGA can attain satisfactory performance with complete ill-formed initial population.
机译:本文报道了一种在简单遗传算法(SGA)上降低初始种群敏感性的新技术。一小群移民染色体不仅仅依靠突变来引入新的模式,而是在每一代向交配池注入。这种机制为包含正确模式提供了更多机会,而破坏现有模式的可能性则较小。实验结果表明,在SGA中采用的新方法可以在完全不正确的初始种群的情况下获得令人满意的性能。

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