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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18978
Title: How improvements in glowworm swarm optimization can solve real-life problems
Authors: Singh A.
Deep, K.
Nagar A.
Bansal J.C.
Deep K.
Pant M.
Das K.N.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: In order to solve real-life optimization problems, many Nature Inspired Optimization Techniques have come into existence over the last couple of years. Out of these, the categories of Swarm Intelligence Algorithms are gaining popularity due to their robustness and ease in applications. One such Swarm Intelligence algorithm is the Glowworm Swarm Optimization algorithm (GSO). This algorithm mimics the behavior of glowworms. The objective of this paper is to present a thorough survey of literature on various modifications and hybridizations of GSO along with their applications. © Springer India 2015.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2015), 275- 287
URI: https://doi.org/10.1007/978-81-322-2220-0_22
http://repository.iitr.ac.in/handle/123456789/18978
Issue Date: 2015
Publisher: Springer Verlag
Keywords: Glowworm swarm optimization
Optimization
Swarm intelligence
Algorithms
Artificial intelligence
Optimization
Soft computing
Glowworm swarm optimizations
Optimization problems
Optimization techniques
Real-life problems
Swarm Intelligence
Swarm intelligence algorithms
Problem solving
ISBN: 9.79E+12
ISSN: 21945357
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: Singh, A.; Department of Mathematics, Indian Institute of Technology RoorkeeIndia; email: amarjeetiitr@gmail.com
Appears in Collections:Conference Publications [MA]

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