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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18968
Title: Investigation of suitable perturbation rate scheme for spider monkey optimization algorithm
Authors: Gupta K.
Deep, K.
Deep K.
Das K.N.
Bansal J.C.
Pant M.
Nagar A.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: Spider Monkey Optimization (SMO) is a new metaheuristic whose strengths and limitations are yet to be explored by the research community. In this paper, we make a small but hopefully significant effort in this direction by studying the behaviour of SMO under varying perturbation rate schemes. Four versions of SMO are proposed corresponding to constant, random, linearly increasing and linearly decreasing perturbation rate variation strategies. This paper aims at studying the behaviour of SMO technique by incorporating these different perturbation rate variation schemes and to examine which scheme is preferable to others on the benchmark set of problems considered in this paper. A benchmark set of 15 unconstrained scalable problems of different complexities including unimodal, multimodal, discontinuous, etc., serves the purpose of studying this behaviour. Not only numerical results of four proposed versions have been presented, but also the significance in the difference of their results has been verified by a statistical test. © Springer Science+Business Media Singapore 2016.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2016), 839- 850
URI: https://doi.org/10.1007/978-981-10-0451-3_75
http://repository.iitr.ac.in/handle/123456789/18968
Issue Date: 2016
Publisher: Springer Verlag
Keywords: Control parameters
Metaheuristics
Perturbation rate
Spider monkey optimization
Algorithms
Optimization
Soft computing
Control parameters
Meta heuristics
Metaheuristic
Multi-modal
Numerical results
Optimization algorithms
Perturbation rate
Research communities
Problem solving
ISBN: 9.79E+12
ISSN: 21945357
Author Scopus IDs: 56954165300
8561208900
Author Affiliations: Gupta, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India
Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India
Corresponding Author: Gupta, K.; Department of Mathematics, Indian Institute of Technology RoorkeeIndia; email: gupta.kavita3043@gmail.com
Appears in Collections:Conference Publications [MA]

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