Advances of Evolutionary Computation: Methods and Operators

The goal of this book is to present advances that discuss alternative Evolutionary Computation (EC) developments and non-conventional operators which have proved to be effective in the solution of several complex problems. The book has been structured so that each chapter can be read independently fr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Cuevas, Erik (Autor), Díaz Cortés, Margarita Arimatea (Autor), Oliva Navarro, Diego Alberto (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Studies in Computational Intelligence, 629
Temas:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • A Swarm Global Optimization Algorithm Inspired in the Behavior of the Social-spider.-A States of Matter Algorithm for Global Optimization
  • An Algorithm for Global Optimization Inspired by Collective Animal Behavior
  • A Bio-inspired Evolutionary Algorithm: Allostatic Optimization
  • Optimization Based on the Behavior of Locust Swarms. .

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