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Kaipa / Ghose

Glowworm Swarm Optimization

Theory, Algorithms, and Applications
Softcover reprint of the original 1st ed. 2017 2018. Buch. xxvi, 248 S.: 122 s/w-Abbildungen, Bibliographien. Softcover
Springer ISBN 978-3-319-84694-1
Format (B x L): 15,5 x 23,5 cm
Gewicht: 427 g
In englischer Sprache
Das Werk ist Teil der Reihe:
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.
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Presents a comprehensive account of the glowworm swarm optimization (GSO) algorithm Provides details on various aspects including the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs Intended primarily for researchers in swarm intelligence and computational intelligence and graduate and undergraduate students