Parallel Architectures and Bioinspired Algorithms [de Vega, Pérez & Lanchares 2012-04-26].pdf

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Studies in Computational Intelligence
Editor-in-Chief
Prof. Janusz Kacprzyk
Systems Research Institute
Polish Academy of Sciences
ul. Newelska 6
01-447 Warsaw
Poland
E-mail: kacprzyk@ibspan.waw.pl
415
For further volumes:
http://www.springer.com/series/7092
Francisco Fernández de Vega,
José Ignacio Hidalgo Pérez,
and Juan Lanchares (Eds.)
Parallel Architectures and
Bioinspired Algorithms
ABC
Editors
Francisco Fernández de Vega
Centro Universitario de Mérida
Universidad de Extremadura
Mérida
Spain
José Ignacio Hidalgo Pérez
Facultad de Informática
Universidad Complutense de Madrid
Calle del Profesor José García
Madrid
Spain
Juan Lanchares
Facultad de Informática
Universidad Complutense de Madrid
Calle del Profesor José García
Madrid
Spain
ISSN 1860-949X
e-ISSN 1860-9503
ISBN 978-3-642-28788-6
e-ISBN 978-3-642-28789-3
DOI 10.1007/978-3-642-28789-3
Springer Heidelberg New York Dordrecht London
Library of Congress Control Number: 2012933085
c Springer-Verlag Berlin Heidelberg 2012
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Contents
Introduction
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Francisco Fern´ ndez de Vega, J. Ignacio Hidalgo, Juan Lanchares
a
Creating and Debugging Performance CUDA C
. . . . . . . . . . . . . . . . . . . . .
W.B. Langdon
Optimizing Shape Design with Distributed Parallel Genetic
Programming on GPUs
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Simon Harding, W. Banzhaf
Characterizing Fault-Tolerance in Evolutionary Algorithms
. . . . . . . . . . .
Daniel Lombra˜ a Gonz´ lez, Juan Luis Jim´ nez Laredo,
n
a
e
Francisco Fern´ ndez de Vega, Juan Juli´ n Merelo Guerv´ s
a
a
o
1
7
51
77
Comparison of Frameworks for Parallel Multiobjective Evolutionary
Optimization in Dynamic Problems
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
101
Mario C´ mara, Julio Ortega, Francisco de Toro
a
An Empirical Study of Parallel and Distributed Particle Swarm
Optimization
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
125
Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri
The Generalized Island Model
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
151
Dario Izzo, Marek Ruci´ ski, Francesco Biscani
n
Evolutionary Associative Memories through Genetic Programming
. . . .
171
Juan Villegas-Cortez, Gustavo Olague, Humberto Sossa, Carlos Avil´ s
e
Parallel Architectures for Improving the Performance of a GA Based
Trading System
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
189
Iv´ n Contreras, J. Ignacio Hidalgo, Laura Nu˜ ez-Letamend´a, Yiyi Jiang
a
n
ı
VI
Contents
A Knowledge-Based Operator for a Genetic Algorithm which
Optimizes the Distribution of Sparse Matrix Data
. . . . . . . . . . . . . . . . . . .
219
Una-May O’Reilly, Nadya Bliss, Sanjeev Mohindra, Julie Mullen,
Eric Robinson
Evolutive Approaches for Variable Selection Using a Non-parametric
Noise Estimator
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
243
Alberto Guill´ n, Duˇ an Sovilj, Mark van Heeswijk, Luis Javier Herrera,
e
s
Amaury Lendasse, H´ ctor Pomares, Ignacio Rojas
e
A Chemical Evolutionary Mechanism for Instantiating Service-Based
Applications
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
267
Maurizio Giordano, Claudia Di Napoli
Author Index
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287

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