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Multi-objective Swarm Intelligence: Theoretical Advances and Applications: 592 (Studies in Computational Intelligence) - Tapa dura
Sinopsis
The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.
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The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.
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- EditorialSpringer
- Año de publicación2015
- ISBN 10 3662463083
- ISBN 13 9783662463086
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas216
- EditorDehuri Satchidananda, Jagadev Alok Kumar, Panda Mrutyunjaya
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Multi-objective Swarm Intelligence: Theoretical Advances and Applications (Studies in Computational Intelligence, 592, Band 592)
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Multi-objective Swarm Intelligence : Theoretical Advances and Applications
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Springer Berlin Heidelberg, 2015
ISBN 10: 3662463083
ISBN 13: 9783662463086
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Multi-objective Swarm Intelligence
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research on Multi objective Swarm Intelligence Presents theoretical advances and applications Written by leading experts in the fieldThe aim of this book is to understand the state-of-the-art theoretical and practical adva. Nº de ref. del artículo: 21122287
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Multi-objective Swarm Intelligence
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Springer Berlin Heidelberg Mrz 2015, 2015
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ISBN 13: 9783662463086
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO. 216 pp. Englisch. Nº de ref. del artículo: 9783662463086
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Multi-objective Swarm Intelligence : Theoretical Advances and Applications
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Springer Berlin Heidelberg, 2015
ISBN 10: 3662463083
ISBN 13: 9783662463086
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO. Nº de ref. del artículo: 9783662463086
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Multi-objective Swarm Intelligence: Theoretical Advances and Applications (Studies in Computational Intelligence, 592)
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Multi-objective Swarm Intelligence : Theoretical Advances and Applications
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Multi-objective Swarm Intelligence: Theoretical Advances and Applications (Studies in Computational Intelligence, 592)
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Multi-objective Swarm Intelligence
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ISBN 10: 3662463083
ISBN 13: 9783662463086
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Buch. Condición: Neu. Neuware -The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 216 pp. Englisch. Nº de ref. del artículo: 9783662463086
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Multi-objective Swarm Intelligence : Theoretical Advances and Applications
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