Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Titre(s) : Parallel architectures and bioinspired algorithms [Texte électronique] / Francisco Fernández de Vega, José Ignacio Hidalgo Pérez, Juan Lanchares (eds.)
Publication : Berlin ; New York : Springer, cop. 2012
Description matérielle : 1 online resource (vi, 286 pages)
Collection : Studies in computational intelligence ; 415
Note(s) : Includes bibliographical references and author index
This monograph presents examples of best practices when combining bioinspired algorithms
with parallel architectures. The book includes recent work by leading researchers
in the field and offers a map with the main paths already explored and new ways towards
the future. Parallel Architectures and Bioinspired Algorithms will be of value to
both specialists in Bioinspired Algorithms, Parallel and Distributed Computing, as
well as computer science students trying to understand the present and the future
of Parallel Architectures and Bioinspired Algorithms
Autre(s) auteur(s) : Fernández de Vega, Francisco. Fonction indéterminée
Hidalgo Pérez, José Ignacio. Fonction indéterminée
Lanchares, Juan. Fonction indéterminée
Sujet(s) : Parallélisme (informatique)
Intelligence computationnelle
Ingénierie
Indice(s) Dewey :
006.3 (23e éd.) = Intelligence artificielle et calcul naturel
Identifiants, prix et caractéristiques : ISBN 9783642287893
Identifiant de la notice : ark:/12148/cb447041501
Notice n° :
FRBNF44704150
(notice reprise d'un réservoir extérieur)
Table des matières : Creating and Debugging Performance CUDA C /W.B. Langdon ; Optimizing Shape Design
with Distributed Parallel Genetic Programming on GPUs /Simon Harding and W. Banzhaf
; Characterizing Fault-Tolerance in Evolutionary Algorithms /Daniel Lombraña González,
Juan Luis Jiménez Laredo, Francisco Fernández de Vega and Juan Julián Merelo Guervós
; Comparison of Frameworks for Parallel Multiobjective Evolutionary Optimization in
Dynamic Problems /Mario Cámara, Julio Ortega and Francisco de Toro ; An Empirical
Study of Parallel and Distributed Particle Swarm Optimization /Leonardo Vanneschi,
Daniele Codecasa and Giancarlo Mauri ; The Generalized Island Model /Dario Izzo, Marek
Ruciński and Francesco Biscani ; Evolutionary Associative Memories through Genetic
Programming /Juan Villegas-Cortez, Gustavo Olague, Humberto Sossa and Carlos Avilés
; Parallel Architectures for Improving the Performance of a GA Based Trading System
/Iván Contreras, J. Ignacio Hidalgo, Laura Nuñez-Letamendí