Multi-objective Swarm Intelligence: Theoretical Advances and Applications (Studies in Computational Intelligence)

ISBN 10: 3662523655 ISBN 13: 9783662523650

Editorial: Springer, 2016

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pp. 201. N� de ref. del art�culo 26375274950

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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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T�tulo: Multi-objective Swarm Intelligence: ...
Editorial: Springer
A�o de publicaci�n: 2016
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Condici�n: New

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Multi-objective Swarm Intelligence

Dehuri, Satchidananda|Jagadev, Alok Kumar|Panda, Mrutyunjaya

Publicado por Springer Berlin Heidelberg, 2016

ISBN 10: 3662523655 ISBN 13: 9783662523650

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Condici�n: 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. N� de ref. del art�culo: 449138659

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Multi-objective Swarm Intelligence | Theoretical Advances and Applications

Satchidananda Dehuri (u. a.)

Publicado por Springer, 2016

ISBN 10: 3662523655 ISBN 13: 9783662523650

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Multi-objective Swarm Intelligence: Theoretical Advances and Applications (Studies in Computational Intelligence, 592)

Publicado por Springer, 2016

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Multi-objective Swarm Intelligence : Theoretical Advances and Applications

Dehuri, Satchidananda (EDT); Jagadev, Alok Kumar (EDT); Panda, Mrutyunjaya (EDT)

Publicado por Springer, 2016

ISBN 10: 3662523655 ISBN 13: 9783662523650

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Multi-objective Swarm Intelligence

Satchidananda Dehuri

Publicado por Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2016, 2016

ISBN 10: 3662523655 ISBN 13: 9783662523650

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Taschenbuch. Condici�n: Neu. This item is printed on demand - Print on Demand Titel. 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. N� de ref. del art�culo: 9783662523650

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Multi-objective Swarm Intelligence

Satchidananda Dehuri

Publicado por Springer Berlin Heidelberg Okt 2016, 2016

ISBN 10: 3662523655 ISBN 13: 9783662523650

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Taschenbuch. Condici�n: 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. N� de ref. del art�culo: 9783662523650

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Multi-objective Swarm Intelligence : Theoretical Advances and Applications

Satchidananda Dehuri

Publicado por Springer Berlin Heidelberg, 2016

ISBN 10: 3662523655 ISBN 13: 9783662523650

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

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Taschenbuch. Condici�n: 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. N� de ref. del art�culo: 9783662523650

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