Application of Lévy Mutation Operator in Evolutionary Programming Optimization of Antennas

A. Hoorfar, S. Lakhani, V. Jamnejad
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引用次数: 8

Abstract

In this paper, we discuss the implementation of Evolutionary Programming (EP) using a mutation operator based on Levy probability distribution and investigate its performance in optimization of selected antenna problems. Since the shape-parameter, alpha, in the Levy distribution results in Cauchy and Gaussian distributions for values of 1 and 2, respectively, one can design adaptive schemes that dynamically change the shape of Levy distribution in generation of offsprings during the evolutionary process in order to exploit the desirable properties of these two distributions. In particular, we introduce a simple adaptive scheme and compare its performance in antenna optimization to adaptive and non-adaptive schemes, previously reported in the literature.
l变异算子在天线进化规划优化中的应用
本文讨论了基于Levy概率分布的变异算子的进化规划(EP)实现,并研究了其在选定天线问题优化中的性能。由于Levy分布中的形状参数alpha分别导致1和2的柯西分布和高斯分布,因此可以设计自适应方案,在进化过程中动态改变后代产生Levy分布的形状,以利用这两个分布的理想性质。特别地,我们介绍了一种简单的自适应方案,并将其在天线优化方面的性能与先前文献报道的自适应和非自适应方案进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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