LEADER 04954nam 22007575 450 001 9910483059503321 005 20251226195313.0 010 $a3-642-17298-9 024 7 $a10.1007/978-3-642-17298-4 035 $a(CKB)2670000000056682 035 $a(SSID)ssj0000446779 035 $a(PQKBManifestationID)11312219 035 $a(PQKBTitleCode)TC0000446779 035 $a(PQKBWorkID)10504490 035 $a(PQKB)10628274 035 $a(DE-He213)978-3-642-17298-4 035 $a(MiAaPQ)EBC3066157 035 $a(PPN)149890273 035 $a(BIP)32472761 035 $a(EXLCZ)992670000000056682 100 $a20101122d2010 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aSimulated Evolution and Learning $e8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010, Proceedings /$fedited by Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Juergen Branke, Sushil J. Louis, Kay Chen Tan 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (XVII, 719 p. 173 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v6457 300 $aIncludes indexes. 311 08$a3-642-17297-0 327 $aInvited Paper -- Theoretical Developments -- Evolutionary Algorithms and Applications -- Learning Methodologies -- Multi-Objective Evolutionary Algorithms and Applications -- Hybrid Algorithms -- Industrial Applications. 330 $aThisLNCSvolumecontainsthepaperspresentedatthe8thSimulatedEvolution and Learning (SEAL 2010) Conference held during December 1-4, 2010 at the Indian Institute of Technology Kanpur in India. SEAL is a prestigious inter- tional conference series in evolutionaryoptimization and machine learning. This biennial event started in Seoul, South Korea in 1996 and was thereafter held in Canberra, Australia in 1998, Nagoya, Japan in 2000, Singapore in 2002, Busan, South Korea in 2004,Hefei, China in 2006and Melbourne, Australia in 2008. SEAL 2010 received 141 paper submissions in total from 30 countries. After a rigorous peer-review process involving 431 reviews in total (averaging a little morethan3reviewsperpaper),60full-lengthand19shortpaperswereaccepted for presentation (both oral and poster) at the conference. The full-length papers alonecorrespondtoa42. 6%acceptancerateandshortpapersaddanother13. 5%. ThepapersincludedinthisLNCSvolumecoverawiderangeoftopicsinsi- latedevolutionandlearning. Theacceptedpapershavebeenclassi'edintothef- lowingmaincategories:(a)theoreticaldevelopments,(b)evolutionaryalgorithms andapplications,(c)learningmethodologies,(d)multi-objectiveevolutionary- gorithms and applications,(e) hybrid algorithms and (f) industrial applications. The conference featured three distinguished keynote speakers. Narendra Karmarkar's talk on "Beyond Convexity: New Perspectives in Computational Optimization" focused on providing new theoretical concepts for non-convex optimization and indicated a rich connection between optimization and ma- ematical physics and also showed a deep signi'cance of advanced geometry to optimization. The advancement of optimization theory for non-convex problems is bene'cial for meta-heuristic optimization algorithms such as evolutionary - gorithms. Manindra Agrawal's talk on "PRIMES is in P" provided a mu- improved version of his celebrated and ground-breaking 2002 work on poly- mial time algorithm for testing prime numbers. The theoretical computation work presented in this keynote lecture should be motivating for the evolutionary optimization and machine learning community at large. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v6457 606 $aComputer programming 606 $aComputer science 606 $aData mining 606 $aArtificial intelligence 606 $aComputer simulation 606 $aProgramming Techniques 606 $aTheory of Computation 606 $aData Mining and Knowledge Discovery 606 $aArtificial Intelligence 606 $aComputer Modelling 615 0$aComputer programming. 615 0$aComputer science. 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aComputer simulation. 615 14$aProgramming Techniques. 615 24$aTheory of Computation. 615 24$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aComputer Modelling. 676 $a006.3 701 $aDeb$b Kalyanmoy$0725709 712 12$aSEAL (Conference) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483059503321 996 $aSimulated evolution and learning$94191820 997 $aUNINA