Glowworm Swarm Optimization - 2017

Krishnanand N, Kaipa and Debasish, Ghose (2017) Glowworm Swarm Optimization - 2017. Studies in Computational Intelligence, 698 . Springer International Publishing, Switzerland. ISBN 9783319515953

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

Abstract

This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers. The generality of the GSO algorithm is evident in its application to diverse problems ranging from optimization to robotics. Examples include computation of multiple optima, annual crop planning, cooperative exploration, distributed search, multiple source localization, contaminant boundary mapping, wireless sensor networks, clustering, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and engineering design optimization. The book is a valuable resource for researchers as well as graduate and undergraduate students in the area of swarm intelligence and computational intelligence and working on these topics.

Item Type: Book
Subjects: Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions: 03-Faculty of Engineering > 21001-Engineering Science (S3)
Depositing User: Dr.(Cand.) Arie Yudha Budiman
Date Deposited: 07 Oct 2019 08:03
Last Modified: 07 Oct 2019 08:03
URI: http://repository.unsri.ac.id/id/eprint/10939

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