Glowworm Swarm Optimization: Theory, Algorithms, and Applications: 698 (Studies in Computational Intelligence)
Language: English
Published by Springer, 2018
Series: Book 197 of 538 - Studies in Computational Intelligence
- Softcover
- New

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- Title
- Glowworm Swarm Optimization: Theory, Algorithms, and Applications: 698 (Studies in Computational Intelligence)
- Author
- Kaipa, Krishnanand N.; Ghose, Debasish
- Publisher
- Springer
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319846949
- ISBN 13
- 9783319846941
- Series
- Book 197 of 538: Studies in Computational Intelligence
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Majestic Books
Hounslow, United Kingdom
4-star seller
AbeBooks seller since January 19, 2007
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