Historical survey on metaheuristics algorithms

Saman M. Almufti
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引用次数: 39

Abstract

Metaheuristic algorithms have been an interesting and widely used area for scientists, researchers and academicians because of their specific and significant characteristics and capabilities in solving optimization problems. Metaheuristic algorithms are developed base on inspiration of some real world phenomenon in nature or on the behavior of living being (animal, insects, organic living beings). On the past many metaheuristic algorithms have been introduced and applied on various problems of various domains including real world optimization problems. This paper is aimed to provide a historical Survey on metaheuristic algorithms, it will provide a list of metaheuristic based algorithms ordered according to the foundation year, with the name of Authors and the algorithm abbreviations. 
元启发式算法的历史回顾
由于元启发式算法在解决优化问题方面具有独特而重要的特点和能力,因此一直是科学家、研究人员和学者们感兴趣并广泛应用的领域。元启发式算法是基于自然界中某些现实世界现象或生物(动物、昆虫、有机生物)行为的启发而开发的。在过去,许多元启发式算法已经被引入并应用于各个领域的各种问题,包括现实世界的优化问题。本文旨在对元启发式算法进行历史回顾,并将提供一份基于元启发式算法的列表,按创建年份排序,并列出作者名称和算法缩写。
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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