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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/10405
Title: New variants of glowworm swarm optimization based on step size
Authors: Singh A.
Deep, K.
Published in: International Journal of Systems Assurance Engineering and Management
Abstract: In 2005, Krishnanand and Ghose (Multimodal function optimization using a glowworm metaphor with applications to collective robotics, 2005a), presented the idea of glowworm metaphor to determine multiple minima in the optimization problem arising in robotics applications. That research paper highlights the glowworm swarm behavior for determining multiple local minima for multimodal functions with application to robotics. Since then, a number of research papers have appeared to improve the performance of glowworm swarm optimization (GSO). In this paper, two major contributions are made. Firstly, a mathematical result is proved which shows that the step size of GSO has a significant influence on the convergence of GSO. Secondly, three variants of GSO are proposed which depend on different step size. Based on the implementation of the proposed variants and the original GSO on 15 benchmark problems, it is concluded that one of the proposed variants is a definite improvement over the original GSO and the remaining variants. © 2015, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.
Citation: International Journal of Systems Assurance Engineering and Management (2015), 6(3): 286-296
URI: https://doi.org/10.1007/s13198-015-0371-5
http://repository.iitr.ac.in/handle/123456789/10405
Issue Date: 2015
Publisher: Springer India
Keywords: Glowworm swarm optimization
Nature inspired algorithm
Optimization techniques
Swarm intelligence
ISSN: 9756809
Author Scopus IDs: 57211750941
8561208900
Author Affiliations: Singh, A., 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: Deep, K.; Department of Mathematics, Indian Institute of Technology RoorkeeIndia
Appears in Collections:Journal Publications [MA]

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