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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/9883
Title: A novel Random Walk Grey Wolf Optimizer
Authors: Gupta S.
Deep K.
Published in: Swarm and Evolutionary Computation
Abstract: Grey Wolf Optimizer (GWO) algorithm is a relatively new algorithm in the field of swarm intelligence for solving continuous optimization problems as well as real world optimization problems. The Grey Wolf Optimizer is the only algorithm in the category of swam intelligence which is based on leadership hierarchy. This paper has three important aspects- Firstly, for improving the search ability by grey wolf a modified algorithm RW-GWO based on random walk has been proposed. Secondly, its performance is exhibited in comparison with GWO and state of art algorithms GSA, CS, BBO and SOS on IEEE CEC 2014 benchmark problems. A non-parametric test Wilcoxon and Performance Index Analysis has been performed to observe the impact of improving the leaders in the proposed algorithm. The results presented in this paper demonstrate that the proposed algorithm provide a better leadership to search a prey by grey wolves. The third aspect of the paper is to use the proposed algorithm and GWO on real life application problems. It is concluded from this article that RW-GWO algorithm is an efficient and reliable algorithm for solving not only continuous optimization problems but also for real life optimization problems. © 2018 Elsevier B.V.
Citation: Swarm and Evolutionary Computation (2019), 44(): 101-112
URI: https://doi.org/10.1016/j.swevo.2018.01.001
http://repository.iitr.ac.in/handle/123456789/9883
Issue Date: 2019
Publisher: Elsevier B.V.
Keywords: Grey Wolf Optimizer
Optimization
Random walk
Swarm intelligence
ISSN: 22106502
Author Scopus IDs: 57209786185
8561208900
Author Affiliations: Gupta, S., 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
Funding Details: The first author would like to thank Ministry of Human Resources , Government of India for funding this research. Grant No. MHR-02-41-113-429 .
Corresponding Author: Gupta, S.; Department of Mathematics, Indian Institute of Technology RoorkeeIndia; email: g.shubh93@gmail.com
Appears in Collections:Journal Publications [MA]

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