Spider Monkey Optimization: a survey

被引：48

作者：

Agrawal V. ^{[1
]}

Rastogi R. ^{[2
]}

Tiwari D.C. ^{[3
]}

机构：

[1] School of Mathematics and Computer Sciences, Jiwaji University, Gwalior

[2] School of Mathematics and Allied Sciences, Jiwaji University, Gwalior

[3] School of Physics, Jiwaji University, Gwalior

来源：

International Journal of System Assurance Engineering and Management | 2018年 / 9卷 / 04期

关键词：

Fission–fusion social structure; Population-based algorithm; Spider Monkey Optimization algorithm; Swarm intelligence;

D O I：

10.1007/s13198-017-0685-6

中图分类号：

学科分类号：

摘要：

Algorithms inspired by the intelligent social behavior of simple agents have become popular among the researchers in the recent years. These algorithms are able to find the solution of those real-world optimization problems, which otherwise cannot be solved easily by deterministic techniques. Spider Monkey Optimization (SMO) is one such algorithm which is inspired by the intelligent behavior of spider monkeys. SMO and its variants have been successful and effective in dealing with complex real world optimization problems due to its high efficacy. This paper presents an intense review of SMO, its variants, applications and relative performance with other algorithms. © 2017, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.

引用

页码：929 / 941

页数：12

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