LEADER 04004nam 22006735 450 001 9910299479203321 005 20200706102438.0 010 $a3-319-01460-9 024 7 $a10.1007/978-3-319-01460-9 035 $a(CKB)3710000000078575 035 $a(DE-He213)978-3-319-01460-9 035 $a(SSID)ssj0000962342 035 $a(PQKBManifestationID)11547585 035 $a(PQKBTitleCode)TC0000962342 035 $a(PQKBWorkID)10975500 035 $a(PQKB)10963499 035 $a(MiAaPQ)EBC3091919 035 $a(PPN)172423988 035 $a(EXLCZ)993710000000078575 100 $a20130723d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III /$fedited by Oliver Schuetze, Carlos A. Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XVIII, 261 p. 114 illus., 15 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v500 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-01459-5 320 $aIncludes bibliographical references and index. 327 $aProbabilistic Modeling -- Evolutionary Computation for Vision, Graphics, and Robotics -- Multi-objective Optimization. 330 $aThis book comprises a selection of extended abstracts and papers presented at the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics, and evolutionary computation as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE aims to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE conference focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees, and modeling. The extended papers of the EVOLVE 2012 make a contribution to this goal. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v500 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 702 $aSchuetze$b Oliver$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCoello$b Carlos A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTantar$b Alexandru-Adrian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTantar$b Emilia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBouvry$b Pascal$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMoral$b Pierre Del$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLegrand$b Pierrick$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299479203321 996 $aEVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III$91951220 997 $aUNINA