| Description |
1 online resource (xxiv, 338 pages) : illustrations (some color) |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
"This book thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. Each chapter deals with a different algorithm describing it in detail and showing how it works in the form of a pseudo-code. In addition, the source code is provided for each algorithm in Matlab and in the C ++ programming language. In order to better understand how each swarm intelligence algorithm works, a simple numerical example is included in each chapter, which guides the reader step by step through the individual stages of the algorithm, showing all necessary calculations"-- Provided by publisher. |
| Biography |
Adam Slowik (IEEE Member 2007; IEEE Senior Member 2012) is an Associate Professor in the Department of Electronics and Computer Science, Koszalin University of Technology. His research interests include soft computing, computational intelligence, and, particularly, bio-inspired optimization algorithms and their engineering applications. He was a recipient of one Best Paper Award (IEEE Conference on Human System Interaction - HSI 2008). |
| Subject |
Swarm intelligence.
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Algorithms.
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Mathematical optimization.
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Computer algorithms.
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Algorithms |
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Algorithmes. |
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Optimisation mathématique. |
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algorithms. |
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Computer algorithms |
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Algorithms |
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Mathematical optimization |
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Swarm intelligence |
| Added Author |
Slowik, Adam, editor.
|
| Other Form: |
Print version: Swarm intelligence algorithm First edition. Boca Raton : Taylor and Francis, 2020. 9781138384491 (DLC) 2020018736 |
| ISBN |
9780429422614 electronic book |
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042942261X electronic book |
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9780429749506 electronic book |
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0429749503 electronic book |
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9780429749483 (electronic bk. : Mobipocket) |
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0429749481 (electronic bk. : Mobipocket) |
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9780429749490 (electronic bk. : EPUB) |
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042974949X (electronic bk. : EPUB) |
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hardcover |
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