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

 
9783662463086: Multi-objective Swarm Intelligence: Theoretical Advances and Applications: 592 (Studies in Computational Intelligence)
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ISBN 10: 3662463083 ISBN 13: 9783662463086
Editorial: Springer, 2015

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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De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3662463083
ISBN 13 
9783662463086
Encuadernación
Tapa dura
Número de páginas
216
Editor
Jagadev Alok Kumar, Panda Mrutyunjaya, Dehuri Satchidananda
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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Hamburg
Alemania

Otras ediciones populares con el mismo título

9783662523650: Multi-objective Swarm Intelligence: Theoretical Advances and Applications: 592 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  3662523655 ISBN 13:  9783662523650
Editorial: Springer, 2016
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