000 | 03312nam a22004935i 4500 | ||
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001 | 978-3-642-23247-3 | ||
003 | DE-He213 | ||
005 | 20140220083301.0 | ||
007 | cr nn 008mamaa | ||
008 | 111028s2012 gw | s |||| 0|eng d | ||
020 |
_a9783642232473 _9978-3-642-23247-3 |
||
024 | 7 |
_a10.1007/978-3-642-23247-3 _2doi |
|
050 | 4 | _aTA329-348 | |
050 | 4 | _aTA640-643 | |
072 | 7 |
_aTBJ _2bicssc |
|
072 | 7 |
_aMAT003000 _2bisacsh |
|
082 | 0 | 4 |
_a519 _223 |
100 | 1 |
_aNeri, Ferrante. _eeditor. |
|
245 | 1 | 0 |
_aHandbook of Memetic Algorithms _h[electronic resource] / _cedited by Ferrante Neri, Carlos Cotta, Pablo Moscato. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012. |
|
300 |
_aXXVI, 370 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v379 |
|
505 | 0 | _aPart I Foundations -- Part II Methodology -- Part III Applications -- Part IV Epilogue. | |
520 | _aMemetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and hard fitness landscapes. “Handbook of Memetic Algorithms” organizes, in a structured way, all the the most important results in the field of MAs since their earliest definition until now. A broad review including various algorithmic solutions as well as successful applications is included in this book. Each class of optimization problems, such as constrained optimization, multi-objective optimization, continuous vs combinatorial problems, uncertainties, are analysed separately and, for each problem, memetic recipes for tackling the difficulties are given with some successful examples. Although this book contains chapters written by multiple authors, a great attention has been given by the editors to make it a compact and smooth work which covers all the main areas of computational intelligence optimization. It is not only a necessary read for researchers working in the research area, but also a useful handbook for practitioners and engineers who need to address real-world optimization problems. In addition, the book structure makes it an interesting work also for graduate students and researchers is related fields of mathematics and computer science. | ||
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 |
_aCotta, Carlos. _eeditor. |
|
700 | 1 |
_aMoscato, Pablo. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642232466 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v379 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-23247-3 |
912 | _aZDB-2-ENG | ||
999 |
_c102146 _d102146 |