LEADER 04185nam 22007455 450 001 996465838903316 005 20230220131115.0 010 $a1-280-86507-5 010 $a9786610865079 010 $a3-540-70928-2 024 7 $a10.1007/978-3-540-70928-2 035 $a(CKB)1000000000284094 035 $a(SSID)ssj0000295889 035 $a(PQKBManifestationID)11266981 035 $a(PQKBTitleCode)TC0000295889 035 $a(PQKBWorkID)10320130 035 $a(PQKB)10272271 035 $a(DE-He213)978-3-540-70928-2 035 $a(MiAaPQ)EBC3061494 035 $a(MiAaPQ)EBC6282936 035 $a(PPN)123160324 035 $a(EXLCZ)991000000000284094 100 $a20100301d2007 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEvolutionary Multi-Criterion Optimization$b[electronic resource] $e4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings /$fedited by Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, Tadahiko Murata 205 $a1st ed. 2007. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007. 215 $a1 online resource (XIX, 954 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4403 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-70927-4 320 $aIncludes bibliographical references and index. 327 $aInvited Talks -- Algorithm Design -- Algorithm Improvements -- Alternative Methods -- Applications -- Engineering Design -- Many Objectives -- Objective Handling -- Performance Assessments. 330 $aMulticriterion optimization refers to problems with two or more objectives (normally in conflict with each other) which must be simultaneously satisfied. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing attention from industry. The 4th International Conference on Evolutionary Multi-criterion Optimization (EMO2007) was held during March 5?8, 2007, in Matsushima/Sendai, Japan. This was the fourth international conference dedicated entirely to this important topic, following the successful EMO 2001, EMO 2003 and EMO 2005 conferences, which were held in Zürich, Switzerland in March 2001, in Faro, Portugal in April 2003, and in Guanajuato, México in March 2005. EMO2007 was hosted by the Institute of Fluid Science, Tohoku University. EMO2007 was co-hosted by the Graduate School of Information Sciences, Tohoku University, the Japan Aerospace Exploration Agency (JAXA), and the Policy Grid Computing Laboratory, Kansai University. The EMO2007 scientific program included four keynote speakers: Hirotaka Nakayama on aspiration level methods, Kay Chen Tan on large and computationally intensive real-world MO optimization problems, Carlos Fonseca on decision making, and Gary B. Lamont on design of large-scale network centric systems. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4403 606 $aAlgorithms 606 $aNumerical analysis 606 $aArtificial intelligence 606 $aAlgorithms 606 $aNumerical Analysis 606 $aArtificial Intelligence 615 0$aAlgorithms. 615 0$aNumerical analysis. 615 0$aArtificial intelligence. 615 14$aAlgorithms. 615 24$aNumerical Analysis. 615 24$aArtificial Intelligence. 676 $a658.403 702 $aObayashi$b Shigeru$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDeb$b Kalyanmoy$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPoloni$b Carlo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHiroyasu$b Tomoyuki$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMurata$b Tadahiko$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aEMO 2007 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465838903316 996 $aEvolutionary Multi-Criterion Optimization$9771896 997 $aUNISA