遗传算法与马鹿算法的应用综述

Raed Abu Zitar
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引用次数: 3

摘要

本文对红鹿算法(Red Deer algorithm, RD)这一当代基于种群的元启发式算法的应用进行了深入的研究。RD算法将进化算法的适者生存前提与启发式搜索方法的生产力和丰富性相结合。另一方面,一个著名的和相对较老的基于进化的算法称为遗传算法的应用也显示。当代算法;RDA和旧算法;遗传算法在计算机科学和工程中有着广泛的应用。本文阐明了所有这些应用程序,并使研究人员能够在工程、计算机科学或商业领域的任何应用程序中利用它们的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review for the Genetic Algorithm and the Red Deer Algorithm Applications
The Red Deer algorithm (RD), a contemporary population-based meta heuristic algorithm, applications are thoroughly examined in this paper. The RD algorithm blends evolutionary algorithms' survival of the fittest premise with the productivity and richness of heuristic search approaches. On the other a well-known and relatively older evolutionary based algorithm called the Genetic Algorithm applications are also shown. The contemporary algorithm; the RDA, and the older algorithm; the GA have wide applications in computer science and engineering. This paper sheds the light on all those applications and enable researchers to exploit the possibilities of adapting them in any applications they may have either in engineering, computer science, or business.
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