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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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Detaylı Bibliyografya
Asıl Yazarlar: Cuevas, Erik (Yazar), Díaz Cortés, Margarita Arimatea (Yazar), Oliva Navarro, Diego Alberto (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edisyon:1st ed. 2016.
Seri Bilgileri:Studies in Computational Intelligence, 629
Konular:
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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. .