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Evaluations of mutations in evolutionary programming

机译:进化编程中突变的评估

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Different mutation operators have been developed in evolutionary programming, such as Gaussian mutations, Cauchy mutations, Lévy mutations, and some mixed mutations. Experimental results have often been focused on comparisons of performance among different mutations. Besides measuring the performance, this paper discusses how to evaluate Gaussian mutations, Cauchy mutations, and Lévy mutations using nine measurements including five measurements from fitness distributions, one measurement on survival rate, and the other three measurements on mutation step sizes. The relationships among these nine measurements are further explored on these mutations.
机译:在进化编程中已经开发出了不同的变异算子,例如高斯变异,柯西变异,列维变异和一些混合变异。实验结果通常集中在不同突变之间性能的比较上。除了测量性能外,本文还讨论了如何使用九种测量方法来评估高斯突变,柯西突变和Lévy突变,包括对适应度分布的五种测量,一项对存活率的测量以及对突变步长的其他三项测量。这九种测量值之间的关系将在这些突变中进一步探讨。

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