| 000 | 03094nam a22004695i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-28789-3 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083313.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120426s2012 gw | s |||| 0|eng d | ||
| 020 |
_a9783642287893 _9978-3-642-28789-3 |
||
| 024 | 7 |
_a10.1007/978-3-642-28789-3 _2doi |
|
| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aFernández de Vega, Francisco. _eeditor. |
|
| 245 | 1 | 0 |
_aParallel Architectures and Bioinspired Algorithms _h[electronic resource] / _cedited by Francisco Fernández de Vega, José Ignacio Hidalgo Pérez, Juan Lanchares. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012. |
|
| 300 |
_aVI, 290p. 76 illus., 33 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v415 |
|
| 505 | 0 | _aCreating 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. | |
| 520 | _aThis 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. | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 700 | 1 |
_aHidalgo Pérez, José Ignacio. _eeditor. |
|
| 700 | 1 |
_aLanchares, Juan. _eeditor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642287886 |
| 830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v415 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-28789-3 |
| 912 | _aZDB-2-ENG | ||
| 999 |
_c102890 _d102890 |
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