Parallel Architectures and Bioinspired Algorithms: Studies in Computational Intelligence, cartea 415
Editat de Francisco Fernández de Vega, José Ignacio Hidalgo Pérez, Juan Lancharesen Limba Engleză Paperback – 9 mai 2014
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.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 986.99 lei 6-8 săpt. | |
Springer Berlin, Heidelberg – 9 mai 2014 | 986.99 lei 6-8 săpt. | |
Hardback (1) | 991.60 lei 6-8 săpt. | |
Springer Berlin, Heidelberg – 28 apr 2012 | 991.60 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783642427367
ISBN-10: 3642427367
Pagini: 296
Ilustrații: VI, 290 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.42 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642427367
Pagini: 296
Ilustrații: VI, 290 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.42 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Creating and Debugging Performance CUDA C.- Optimizing Shape Design with Distributed Parallel Genetic Programming on GPUs.- Characterizing Fault-tolerance in Genetic Algorithms and programming.- Comparison of Frameworks for Parallel Multiobjective Evolutionary Optimization in Dynamic Problems.- An Empirical Study of Parallel and Distributed Particle Swarm Optimization.- The generalized Island Model.- Genetic Programming for the Evolution of Associative Memories.- Parallel Architectures for Improving the Performance of a GA based trading System.- A Knowledge-Based Operator for a Genetic Algorithm which Optimizes the Distribution of Sparse Matrix Data.- Evolutive approaches for Variable Selection using a Non-parametric Noise Estimator.- A chemical evolutionary mechanism for instantiating service-based applications.
Textul de pe ultima copertă
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.
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.
Caracteristici
Recent research in Parallel Architectures and Bioinspired Algorithms Presents an important applicaton of bioinspired algorithms Written by leading experts in the field