Multi-objective Swarm Intelligence Theoretical Advances and Applications /

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 present...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Dehuri, Satchidananda (Editor ), Jagadev, Alok Kumar (Editor ), Panda, Mrutyunjaya (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Studies in Computational Intelligence, 592
Temas:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Behavior of Bacterial Colony
  • E.coli Bacterial Colonies
  • Optimization based on E.coli Bacterial Colony
  • Classification of BFO Algorithm
  • Multi-objective optimization based on BF
  • An overview of BFO Applications
  • Conclusion.

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