New Advancements in Swarm Algorithms : Operators and Applications
Language: English
Published by Springer, 2019
Series: Book 130 of 188 - Intelligent Systems Reference Library
- Hardcover
- Used
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- Title
- New Advancements in Swarm Algorithms : Operators and Applications
- Author
- Cuevas, Erik; Fausto, Fernando; González, Adrián
- Publisher
- Springer
- Publication year
- 2019
- Condition
- As New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030163385
- ISBN 13
- 9783030163389
- Series
- Book 130 of 188: Intelligent Systems Reference Library
This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineersand practitioners solve their own optimization problems.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineersand practitioners solve their own optimization problems.
"About the title" may belong to another edition of this title.
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