| 000 | 03205nam a22004815i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-22084-5 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083807.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 110713s2011 gw | s |||| 0|eng d | ||
| 020 |
_a9783642220845 _9978-3-642-22084-5 |
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| 024 | 7 |
_a10.1007/978-3-642-22084-5 _2doi |
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| 050 | 4 | _aTA329-348 | |
| 050 | 4 | _aTA640-643 | |
| 072 | 7 |
_aTBJ _2bicssc |
|
| 072 | 7 |
_aMAT003000 _2bisacsh |
|
| 082 | 0 | 4 |
_a519 _223 |
| 100 | 1 |
_aLuque, Gabriel. _eauthor. |
|
| 245 | 1 | 0 |
_aParallel Genetic Algorithms _h[electronic resource] : _bTheory and Real World Applications / _cby Gabriel Luque, Enrique Alba. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011. |
|
| 300 |
_aXII, 172 p. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v367 |
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| 505 | 0 | _aPart I Introduction -- Part II Characterization of Parallel Genetic Algorithms -- Part III Applications of Parallel Genetic Algorithms. | |
| 520 | _aThis book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always difficult, and the book seeks at gracefully introducing from basic concepts to advanced topics. The presentation is structured in three parts. The first one is targeted to the algorithms themselves, discussing their components, the physical parallelism, and best practices in using and evaluating them. A second part deals with the theory for pGAs, with an eye on theory-to-practice issues. A final third part offers a very wide study of pGAs as practical problem solvers, addressing domains such as natural language processing, circuits design, scheduling, and genomics. This volume will be helpful both for researchers and practitioners. The first part shows pGAs to either beginners and mature researchers looking for a unified view of the two fields: GAs and parallelism. The second part partially solves (and also opens) new investigation lines in theory of pGAs. The third part can be accessed independently for readers interested in applications. The result is an excellent source of information on the state of the art and future developments in parallel GAs. | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aEngineering mathematics. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 700 | 1 |
_aAlba, Enrique. _eauthor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642220838 |
| 830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v367 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-22084-5 |
| 912 | _aZDB-2-ENG | ||
| 999 |
_c108123 _d108123 |
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