进化策略中中间重组的概括

Thomas Bäck, A. Eiben
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引用次数: 13

摘要

本文研究了进化策略中中间重组的两种不同的推广。这两种概括都允许重新组合任意数量的/spl rho/父级。然而,所谓的/spl rho///spl rho/-机制平均了所有/spl rho/父级,而所谓的/spl rho//2机制反复(为每个对象变量重新)从/spl rho/父级中选择两个,并平均相应的对象变量以创建后代个体。对球面函数的计算结果表明,这两种算子对算法的收敛速度有显著的影响。这两个算子应用于许多不同的目标函数(包括可分和不可分,单峰和多峰,规则和不规则拓扑),并研究了父母数量/spl rho/的影响。结果表明,结果中的重要差异与目标函数的规范拓扑分类不一致,但在一定程度上可以用Beyer的“遗传修复”假设结合成功区域的推理来解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generalizations of intermediate recombination in evolution strategies
In this paper two different generalizations of intermediate recombination in evolution strategies are investigated. Both generalizations allow for recombining an arbitrary number of /spl rho/ parents. However, the so-called /spl rho///spl rho/-mechanism averages all /spl rho/ parents, while the so-called /spl rho//2-mechanism repeatedly (for each object variable anew) selects two out of /spl rho/ parents and averages the corresponding object variables to create an offspring individual. Results presented for the spherical function demonstrate that these two operators can cause a significantly different behavior concerning the convergence velocity of the algorithm. Both operators are applied to a number of different objective functions (including separable and non-separable, unimodal and multimodal, regular and irregular topologies), and the impact of the number of parents /spl rho/ is investigated. The results illustrate that important differences in the results are not consistent with the canonical topology classification of objective functions, but can be explained to some extent by the "genetic repair" hypothesis of Beyer in combination with a reasoning about the success region.
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