Glowworm Swarm Optimization

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 

Theory, Algorithms, and Applications, Studies in Computational Intelligence 698

ISBN: 3319515942
ISBN 13: 9783319515946
Autor: Kaipa, Krishnanand N/Ghose, Debasish
Verlag: Springer Verlag GmbH
Umfang: xxvi, 248 S., 122 s/w Illustr., 248 p. 122 illus.
Erscheinungsdatum: 18.01.2017
Auflage: 1/2017
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 542830 Kategorie:

Beschreibung

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 studentsin the area of swarm intelligence and computational intelligence and working on these topics.

Herstellerkennzeichnung:


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E-Mail: juergen.hartmann@springer.com

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