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Glowworm Swarm Optimization: Algorithm Development

Kaipa, Krishnanand N and Ghose, Debasish (2017) Glowworm Swarm Optimization: Algorithm Development. [Book Chapter]

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Official URL: https://doi.org/10.1007/978-3-319-51595-3_2


In this chapter, the development of the glowworm swarm optimization (GSO) algorithm is presented. Initially, the basic working principle of GSO is introduced, which is followed by a description of the phases that constitute each cycle of the algorithm. GSO, in its present form, has evolved out of several significant modifications incorporated into the earlier versions of the algorithm. Many ideas were considered in the development process before converging upon the current GSO version.

Item Type: Book Chapter
Series.: Studies in Computational Intelligence
Publisher: Springer Verlag
Additional Information: The Copyright of this article belongs to the Springer
Keywords: Particle Swarm Optimization; Travel Salesman Problem; Firefly Algorithm; Sensor Range; Multimodal Function
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited: 29 May 2022 05:05
Last Modified: 29 May 2022 05:05
URI: https://eprints.iisc.ac.in/id/eprint/72583

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