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

机译:一种新的方法,以减少初始群体对简单遗传算法的影响

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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,报道了一种降低初始群体对简单遗传算法(SGA)敏感性的新技术。而不是仅仅依赖于突变引入新的模式,而是将一小组移民染色体注入到配合池中。此机制为正确的架构提供更多机会,以包含销毁现有的概率。实验结果表明,SGA采用的新方法可以实现令人满意的性能,完全形成的初始人口。

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