TY - BOOK UR - http://lib.ugent.be/catalog/ebk01:3710000001041164 ID - ebk01:3710000001041164 LA - eng TI - Glowworm Swarm Optimization Theory, Algorithms, and Applications PY - 2017 SN - 9783319515953 AU - Kaipa, Krishnanand N. author. AU - Ghose, Debasish. author. AB - 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. AB - 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. ER -Download RIS file
03119nam a22004815i 4500 | |||
001 | 978-3-319-51595-3 | ||
003 | DE-He213 | ||
005 | 20170110134850.0 | ||
007 | cr nn 008mamaa | ||
008 | 170110s2017 gw | s |||| 0|eng d | ||
020 | a 9783319515953 9 978-3-319-51595-3 | ||
024 | 7 | a 10.1007/978-3-319-51595-3 2 doi | |
050 | 4 | a Q342 | |
072 | 7 | a UYQ 2 bicssc | |
072 | 7 | a COM004000 2 bisacsh | |
082 | 4 | a 006.3 2 23 | |
100 | 1 | a Kaipa, Krishnanand N. e author. | |
245 | 1 | a Glowworm Swarm Optimization h [electronic resource] : b Theory, Algorithms, and Applications / c by Krishnanand N. Kaipa, Debasish Ghose. | |
264 | 1 | a Cham : b Springer International Publishing : b Imprint: Springer, c 2017. | |
300 | a XXVI, 248 p. 122 illus. b online resource. | ||
336 | a text b txt 2 rdacontent | ||
337 | a computer b c 2 rdamedia | ||
338 | a online resource b cr 2 rdacarrier | ||
347 | a text file b PDF 2 rda | ||
490 | 1 | a Studies in Computational Intelligence, x 1860-949X ; v 698 | |
505 | 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. | ||
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. | ||
650 | a Engineering. | ||
650 | a Artificial intelligence. | ||
650 | a Algorithms. | ||
650 | a Computational intelligence. | ||
650 | 1 | 4 | a Engineering. |
650 | 2 | 4 | a Computational Intelligence. |
650 | 2 | 4 | a Artificial Intelligence (incl. Robotics). |
650 | 2 | 4 | a Algorithms. |
700 | 1 | a Ghose, Debasish. e author. | |
710 | 2 | a SpringerLink (Online service) | |
773 | t Springer eBooks | ||
776 | 8 | i Printed edition: z 9783319515946 | |
830 | a Studies in Computational Intelligence, x 1860-949X ; v 698 | ||
856 | 4 | u http://dx.doi.org/10.1007/978-3-319-51595-3 | |
912 | a ZDB-2-ENG | ||
950 | a Engineering (Springer-11647) |
All data below are available with an Open Data Commons Open Database License. You are free to copy, distribute and use the database; to produce works from the database; to modify, transform and build upon the database. As long as you attribute the data sets to the source, publish your adapted database with ODbL license, and keep the dataset open (don't use technical measures such as DRM to restrict access to the database).
The datasets are also available as weekly exports.