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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Bibliographic Details
Main Authors: Cuevas, Erik (Author), Díaz Cortés, Margarita Arimatea (Author), Oliva Navarro, Diego Alberto (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Studies in Computational Intelligence, 629
Subjects:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Access:Full-text access
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Table of Contents:
  • 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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