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首页> 外文期刊>Turkish Journal of Electrical Engineering and Computer Sciences >Meta-Genetic Programming: Co-evolving the Operators of Variation
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Meta-Genetic Programming: Co-evolving the Operators of Variation

机译:元遗传编程:变异算子的共同进化

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摘要

The standard Genetic Programming approach is augmented by co-evolvingthe genetic operators. To do this the operators are coded as trees ofindefinite length. In order for this technique to work, the languagethat the operators are defined in must be such that it preserves thevariation in the base population. This technique can varied by addingfurther populations of operators and changing which populations act asoperators for others, including itself, thus to provide a frameworkfor a whole set of augmented GP techniques. The technique is testedon the parity problem. The pros and cons of the technique arediscussed.
机译:通过共同发展遗传算子,增强了标准的遗传编程方法。为此,将运算符编码为长度不确定的树。为了使该技术起作用,必须定义操作员所使用的语言,以便保留基本人口中的差异。可以通过添加更多的操作员群体并更改哪些人口充当其他人(包括其自身)的操作员来改变该技术,从而为整套增强GP技术提供框架。该技术在奇偶校验问题上进行了测试。讨论了该技术的优缺点。

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