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...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Έκδοση: | 1st ed. 2016. |
Σειρά: | Studies in Computational Intelligence,
629 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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. .