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Format: Häftad (Paperback / softback)
Språk: Engelska
Antal sidor: 248
Utgivningsdatum: 2018-07-13
Upplaga: Softcover reprint of the original 1st ed. 2017
Förlag: Springer International Publishing AG
Medarbetare: Ghose, Debasish
Illustrationer: 122 Illustrations, black and white; XXVI, 248 p. 122 illus.
Dimensioner: 234 x 156 x 15 mm
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Antal komponenter: 1
Komponenter: 1 Paperback / softback
ISBN: 9783319846941

Glowworm Swarm Optimization

Name: Glowworm Swarm Optimization
Price: 1113.00 SEK
Availability: InStock
Author: Krishnanand N Kaipa, Debasish Ghose
ISBN: 9783319846941

Theory, Algorithms, and Applications

av Krishnanand N Kaipa, Debasish Ghose

Häftad, Engelska, 2018-07-13

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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.

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Scheduling Divisible Loads in Parallel and Distributed Systems

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An in-depth study of a class of problems in load sharing and balancing in parallel and distributed systems, detailing the design and analysis of load distribution strategies in systems subject to communication delays. Looks at two different cases,...

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Preface.- Acknowledgements.- 1 From Natural to Synthetic Swarms.- 2 Glowworm Swarm Optimization: Algorithm Development.- 3 Theoretical Foundations.- 4 Multimodal Function Optimization.- 5 Experiments using Physical Simulations and Real Robots.- 6 Applications to Ubiquitous Computing Environments.- 7 Pursuit of Multiple Mobile Signal Sources.- 8 GSO Applications and Extensions.