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: | , , |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| 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. .