LEADER 04255nam 22007935 450 001 996418291703316 005 20230330060300.0 010 $a3-030-58112-8 024 7 $a10.1007/978-3-030-58112-1 035 $a(CKB)4100000011413892 035 $a(DE-He213)978-3-030-58112-1 035 $a(MiAaPQ)EBC6335308 035 $a(PPN)255140614 035 $a(EXLCZ)994100000011413892 100 $a20200902d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aParallel Problem Solving from Nature ? PPSN XVI$b[electronic resource] $e16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I /$fedited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, Heike Trautmann 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XXIX, 735 p. 261 illus., 169 illus. in color.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12269 300 $aIncludes index. 311 $a3-030-58111-X 327 $aAutomated Algorithm Selection and Configuration -- Bayesian- and Surrogate-Assisted Optimization -- Benchmarking and Performance Measures -- Combinatorial Optimization -- Connection Between Nature-Inspired Optimization and Artificial Intelligence -- Genetic and Evolutionary Algorithms. 330 $aThis two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12269 606 $aComputer science 606 $aArtificial intelligence 606 $aComputer science?Mathematics 606 $aDiscrete mathematics 606 $aMathematical statistics 606 $aComputer networks 606 $aTheory of Computation 606 $aArtificial Intelligence 606 $aMathematics of Computing 606 $aDiscrete Mathematics in Computer Science 606 $aProbability and Statistics in Computer Science 606 $aComputer Communication Networks 615 0$aComputer science. 615 0$aArtificial intelligence. 615 0$aComputer science?Mathematics. 615 0$aDiscrete mathematics. 615 0$aMathematical statistics. 615 0$aComputer networks. 615 14$aTheory of Computation. 615 24$aArtificial Intelligence. 615 24$aMathematics of Computing. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aProbability and Statistics in Computer Science. 615 24$aComputer Communication Networks. 676 $a004.0151 702 $aBäck$b Thomas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPreuss$b Mike$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDeutz$b André$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Hao$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDoerr$b Carola$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEmmerich$b Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTrautmann$b Heike$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418291703316 996 $aParallel Problem Solving from Nature ? PPSN XVI$91922206 997 $aUNISA