论文标题

天线优化使用新的进化算法,基于Tukey-Lambda概率分布

Antenna Optimization Using a New Evolutionary Algorithm Based on Tukey-Lambda Probability Distribution

论文作者

Jamnejad, Vahraz, Hoorfar, Ahmad

论文摘要

在本文中,我们基于Tukey的对称Lambda分布引入了一种新的进化优化算法。 Tukey分布由3个参数,形状参数,比例参数以及位置参数或平均值定义。可以通过更改形状参数来近似其他各种分布,因此可以包含大量的概率分布。此外,由于这些属性,带有Tukey突变操作员的进化编程(EP)算法在大量优化问题中可能表现良好。讨论了与Tukey分布的EP实施方案的各种方案,并将所得算法应用于选定的测试功能和天线设计问题。

In this paper, we introduce a new evolutionary optimization algorithm based on Tukey's symmetric lambda distribution. Tukey distribution is defined by 3 parameters, the shape parameter, the scale parameter, and the location parameter or average value. Various other distributions can be approximated by changing the shape parameter, and as a result can encompass a large class of probability distributions. In addition, Because of these attributes, an Evolutionary Programming (EP) algorithm with Tukey mutation operator may perform well in a large class of optimization problems. Various schemes in implementation of EP with Tukey distribution are discussed, and the resulting algorithms are applied to selected test functions and antenna design problems.

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