Glowworm swarm optimization : theory, algorithms, and applications

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...

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Bibliographic Details
Main Authors: Kaipa, Krishnanand N., (Author), Ghose, Debasish, (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Studies in computational intelligence ; v. 698.
Subjects:
Swarm intelligence > Mathematics.
elektronické knihy
electronic books
ISBN: 9783319515953
9783319515946
Physical Description: 1 online resource (xxvi, 248 pages) : illustrations

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100 1 |a Kaipa, Krishnanand N.,  |e author. 
245 1 0 |a Glowworm swarm optimization :  |b theory, algorithms, and applications /  |c Krishnanand N. Kaipa, Debasish Ghose. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource (xxvi, 248 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Studies in computational intelligence,  |x 1860-949X ;  |v volume 698 
504 |a Includes bibliographical references. 
505 0 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Swarm intelligence  |x Mathematics. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Ghose, Debasish,  |e author. 
776 0 8 |i Printed edition:  |z 9783319515946 
830 0 |a Studies in computational intelligence ;  |v v. 698.  |x 1860-949X 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-51595-3  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99746  |d 99746 

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