Description |
1 online resource (vi, 286 pages) |
Series |
Studies in computational intelligence, 1860-949X ; 415 |
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Studies in computational intelligence ; 415.
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Contents |
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-Letamendía and Yiyi Jiang -- A Knowledge-Based Operator for a Genetic Algorithm which Optimizes the Distribution of Sparse Matrix Data / Una-May O'Reilly, Nadya Bliss, Sanjeev Mohindra, Julie Mullen and Eric Robinson -- Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator / Alberto Guillén, Dušan Sovilj, Mark van Heeswijk, Luis Javier Herrera and Amaury Lendasse, et al. -- A Chemical Evolutionary Mechanism for Instantiating Service-Based Applications / Maurizio Giordano and Claudia Di Napoli |
Summary |
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 |
Analysis |
Engineering |
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Artificial intelligence |
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Computational Intelligence |
Bibliography |
Includes bibliographical references and author index |
Notes |
English |
Subject |
Parallel processing (Electronic computers)
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Natural computation
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Ingénierie.
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Natural computation
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Parallel processing (Electronic computers)
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Form |
Electronic book
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Author |
Fernández de Vega, Francisco.
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Hidalgo Pérez, José Ignacio
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Lanchares, Juan
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ISBN |
9783642287893 |
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3642287891 |
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3642287883 |
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9783642287886 |
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