000 03582nam a22005295i 4500
001 978-3-642-32726-1
003 DE-He213
005 20140220082853.0
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
100 1 _aTantar, Emilia.
_eeditor.
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 Schütze.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXXII, 414 p. 102 illus.
_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 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, 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 _aSchütze, 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
999 _c97278
_d97278