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Glowworm Swarm Optimization - Theory, Algorithms, and Applications (Hardcover, 1st ed. 2017): Krishnanand N. Kaipa, Debasish... Glowworm Swarm Optimization - Theory, Algorithms, and Applications (Hardcover, 1st ed. 2017)
Krishnanand N. Kaipa, Debasish Ghose
R4,073 R3,351 Discovery Miles 33 510 Save R722 (18%) Ships in 12 - 17 working days

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.

Glowworm Swarm Optimization - Theory, Algorithms, and Applications (Paperback, Softcover reprint of the original 1st ed. 2017):... Glowworm Swarm Optimization - Theory, Algorithms, and Applications (Paperback, Softcover reprint of the original 1st ed. 2017)
Krishnanand N. Kaipa, Debasish Ghose
R2,789 Discovery Miles 27 890 Ships in 10 - 15 working days

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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