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ORCIDParallel Architectures and Bioinspired Algorithms 2012
- Francisco Fernández de Vega, José Ignacio Hidalgo Pérez
, Juan Lanchares:
Parallel Architectures and Bioinspired Algorithms. Studies in Computational Intelligence 415, Springer 2012, ISBN 978-3-642-28788-6 - Francisco Fernández de Vega, José Ignacio Hidalgo, Juan Lanchares:
Introduction. 1-6 - William B. Langdon:
Creating and Debugging Performance CUDA C. 7-50 - Simon Harding, Wolfgang Banzhaf:
Optimizing Shape Design with Distributed Parallel Genetic Programming on GPUs. 51-75 - Daniel Lombraña Gonzalez, Juan Luis Jiménez Laredo, Francisco Fernández de Vega, Juan Julián Merelo Guervós:
Characterizing Fault-Tolerance in Evolutionary Algorithms. 77-99 - Mario Cámara, Julio Ortega, Francisco de Toro:
Comparison of Frameworks for Parallel Multiobjective Evolutionary Optimization in Dynamic Problems. 101-123 - Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri:
An Empirical Study of Parallel and Distributed Particle Swarm Optimization. 125-150 - Dario Izzo, Marek Rucinski, Francesco Biscani:
The Generalized Island Model. 151-169 - Juan Villegas-Cortéz, Gustavo Olague, Humberto Sossa, Carlos Avilés-Cruz:
Evolutionary Associative Memories through Genetic Programming. 171-188 - Iván Contreras, José Ignacio Hidalgo, Laura Núñez-Letamendia, Yiyi Jiang:
Parallel Architectures for Improving the Performance of a GA Based Trading System. 189-218 - Una-May O'Reilly, Nadya T. Bliss, Sanjeev Mohindra, Julie Mullen, Eric Robinson:
A Knowledge-Based Operator for a Genetic Algorithm which Optimizes the Distribution of Sparse Matrix Data. 219-241 - Alberto Guillén, Dusan Sovilj, Mark van Heeswijk, Luis Javier Herrera, Amaury Lendasse, Héctor Pomares, Ignacio Rojas:
Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator. 243-266 - Maurizio Giordano, Claudia Di Napoli:
A Chemical Evolutionary Mechanism for Instantiating Service-Based Applications. 267-286
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