000 | 03667nam a22005655i 4500 | ||
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001 | 978-3-642-32726-1 | ||
003 | DE-He213 | ||
005 | 20200421112039.0 | ||
007 | cr nn 008mamaa | ||
008 | 120914s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642327261 _9978-3-642-32726-1 |
||
024 | 7 |
_a10.1007/978-3-642-32726-1 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aEVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation _h[electronic resource] / _cedited by Emilia Tantar, Alexandru-Adrian Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand, Carlos A. Coello Coello, Oliver Sch�utze. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
|
300 |
_aXXII, 414 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 ; _v447 |
|
505 | 0 | _aPart I Foundations, probability and evolutionary computation -- Part II Set oriented numerics -- Part III Landscape, coevolution and cooperation -- Part IV Multi-objective optimization, heuristic conversion algorithms. | |
520 | _aThe aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation. The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set the basis for a unified view and vocabulary where theoretical advancements may echo in different domains. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aStatistics. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
700 | 1 |
_aTantar, Emilia. _eeditor. |
|
700 | 1 |
_aTantar, Alexandru-Adrian. _eeditor. |
|
700 | 1 |
_aBouvry, Pascal. _eeditor. |
|
700 | 1 |
_aDel Moral, Pierre. _eeditor. |
|
700 | 1 |
_aLegrand, Pierrick. _eeditor. |
|
700 | 1 |
_aCoello Coello, Carlos A. _eeditor. |
|
700 | 1 |
_aSch�utze, Oliver. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642327254 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v447 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-32726-1 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c56512 _d56512 |