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Spider Monkey Optimization Algorithm

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 779)

Abstract

Foraging behavior of social creatures has always been a matter of study for the development of optimization algorithms. Spider Monkey Optimization (SMO) is a global optimization algorithm inspired by Fission-Fusion social (FFS) structure of spider monkeys during their foraging behavior. SMO exquisitely depicts two fundamental concepts of swarm intelligence: self-organization and division of labor. SMO has gained popularity in recent years as a swarm intelligence based algorithm and is being applied to many engineering optimization problems. This chapter presents the Spider Monkey Optimization algorithm in detail. A numerical example of SMO procedure has also been given for a better understanding of its working.

Keywords

Spider monkey optimization Swarm intelligence Fission-fusion social structure Numerical optimization 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Rajasthan Technical UniversityKotaIndia
  2. 2.South Asian UniversityNew DelhiIndia

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