期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2017
卷号：9
页码：181-205
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：Metaheuristic algorithms have been an interesting area for researchers, scientists and academicians due to their specific and significant characteristics and capabilities. Their ability to solve and give near optimal solutions to the problems of versatile domain without in-depth details and definition of the problems, provides an edge over traditional techniques. Most of the metaheuristic algorithms are inspired by some real world phenomenon, generally a natural method of optimization. Over the last few decades a number of metaheuristic algorithms have been introduced and applied on various problems of different domains. This paper is aimed to provide the researchers of the field with a comprehensive list of such algorithms developed so far. The algorithms are listed in alphabetical order having authors’ credentials and a brief discussion of the method. The aim of this work is to provide an introduction of the field to the new and interested researchers.
