Empire Establishment Algorithm

Seyed Mojtaba Saif, H. Shah-Hosseini, Mohammad Reza Feizi
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引用次数: 2

Abstract

The main goal of the research has described in this paper is to change the simple GA (Genetic Algorithm) for better accuracy. The proposed Empire Establishment Algorithm is similar to the parallel Genetic Algorithm. Genetic Algorithms are a subclass of Evolutionary Algorithms. Genetic Algorithms mimic some processes of nature. Here, with the distribution fashion of the tribes in several regions and empire establishment, some changes in the simple Genetic Algorithm are proposed. These changes will add to the accuracy and the success of the GA.
帝国建立算法
本文所描述的主要研究目标是改变简单的遗传算法以获得更好的精度。本文提出的帝国建立算法类似于并行遗传算法。遗传算法是进化算法的一个子类。遗传算法模拟了一些自然过程。在此,随着部落在几个地区的分布方式和帝国的建立,对简单的遗传算法提出了一些修改。这些变化将增加遗传算法的准确性和成功度。
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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