LEADER 03718nam 22007335 450 001 996465613003316 005 20230329155926.0 010 $a3-642-37140-X 024 7 $a10.1007/978-3-642-37140-0 035 $a(CKB)3280000000007575 035 $a(DE-He213)978-3-642-37140-0 035 $a(SSID)ssj0000880001 035 $a(PQKBManifestationID)11454278 035 $a(PQKBTitleCode)TC0000880001 035 $a(PQKBWorkID)10853296 035 $a(PQKB)11718105 035 $a(MiAaPQ)EBC3093069 035 $a(PPN)169139980 035 $a(EXLCZ)993280000000007575 100 $a20130321d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvolutionary Multi-Criterion Optimization$b[electronic resource] $e7th International Conference, EMO 2013, Sheffield, UK, March 19-22, 2013. Proceedings /$fedited by Robin Purshouse, Peter Fleming, Carlos M. Fonseca, Salvatore Greco, Jane Shaw 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XVIII, 842 p. 387 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v7811 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-37139-6 327 $aPlenary talks -- New horizons -- Indicator-based methods -- Aspects of algorithm design -- Pareto-based methods -- Hybrid MCDA -- Decomposition-based methods -- Classical MCDA -- Exploratory problem analysis -- Product and process applications -- Aerospace and automotive applications -- Further real-world applications -- Under-explored challenges. 330 $aThis book constitutes the refereed proceedings of the 7th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2013 held in Sheffield, UK, in March 2013. The 57 revised full papers presented were carefully reviewed and selected from 98 submissions. The papers are grouped in topical sections on plenary talks; new horizons; indicator-based methods; aspects of algorithm design; pareto-based methods; hybrid MCDA; decomposition-based methods; classical MCDA; exploratory problem analysis; product and process applications; aerospace and automotive applications; further real-world applications; and under-explored challenges. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v7811 606 $aNumerical analysis 606 $aAlgorithms 606 $aArtificial intelligence 606 $aApplication software 606 $aNumerical Analysis 606 $aAlgorithms 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 615 0$aNumerical analysis. 615 0$aAlgorithms. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 14$aNumerical Analysis. 615 24$aAlgorithms. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 676 $a005.3 702 $aPurshouse$b Robin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFleming$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFonseca$b Carlos M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGreco$b Salvatore$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShaw$b Jane$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465613003316 996 $aEvolutionary Multi-Criterion Optimization$9771896 997 $aUNISA