Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Alba, Enrique
Titre(s) : Cellular genetic algorithms [Texte électronique] / Enrique Alba and Bernabé Dorronsoro
Publication : New York : Springer, cop. 2008
Description matérielle : 1 ressource dématérialisée
Collection : Operations research/computer science interfaces series ; ORCS 42
Note(s) : Includes bibliographical references (pages 225-242) and index
"Cellular Genetic Algorithms defines a new class of optimization algorithms based
on the concepts of structured populations and Genetic Algorithms (GAs). The authors
explain and demonstrate the validity of these cellular genetic algorithms throughout
the book. The focus of this book is twofold. On the one hand, the authors present
new algorithmic models and extensions to the basic class of Cellular GAs in order
to tackle complex problems more efficiently. On the other hand, practical real world
tasks are successfully faced by applying Cellular GA methodologies to produce workable
solutions of real-world applications."--Jacket
Autre(s) auteur(s) : Dorronsoro, Bernabé. Fonction indéterminée
Sujet(s) : Algorithmes génétiques
Optimisation combinatoire
Programmation heuristique
Programmation non linéaire
Identifiants, prix et caractéristiques : ISBN 9780387776101
Identifiant de la notice : ark:/12148/cb446439630
Notice n° :
FRBNF44643963
(notice reprise d'un réservoir extérieur)
Table des matières : pt. I. Introduction ; 1. Introduction to Cellular Genetic Algorithms ; 2. The State
of the Art in Cellular Evolutionary Algorithms ; pt. II. Characterizing Cellular
Genetic Algorithms ; 3. On the Effects of Structuring the Population ; 4. Some Theory:
A Selection Pressure Study on cGAs ; pt. III. Algorithmic Models and Extensions ;
5. Algorithmic and Experimental Design ; 6. Design of Self-adaptive cGAs ; 7. Design
of Cellular Memetic Algorithms ; 8. Design of Parallel Cellular Genetic Algorithms
; 9. Designing Cellular Genetic Algorithms for Multi-objective Optimization ; 10.
Other Cellular Models ; 11. Software for cGAs: The JCell Framework ; pt. IV. Applications
of cGAs ; 12. Continuous Optimization ; 13. Logistics: The Vehicle Routing Problem
; 14. Telecommunications: Optimization of the Broadcasting Process in MANETs ; 15.
Bioinformatics: The DNA Fragment Assembly Problem ; pt. V. Appendix ; App. A. Definition
of the Benchmark Problems.
