LEADER 03350nam 22006375 450 001 9910488717903321 005 20251113182200.0 010 $a9783030746407 010 $a3030746402 024 7 $a10.1007/978-3-030-74640-7 035 $a(CKB)5590000000517984 035 $a(MiAaPQ)EBC6675947 035 $a(Au-PeEL)EBL6675947 035 $a(OCoLC)1258653446 035 $a(PPN)258059079 035 $a(DE-He213)978-3-030-74640-7 035 $a(EXLCZ)995590000000517984 100 $a20210628d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData-Driven Evolutionary Optimization $eIntegrating Evolutionary Computation, Machine Learning and Data Science /$fby Yaochu Jin, Handing Wang, Chaoli Sun 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (408 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v975 311 08$a9783030746391 311 08$a3030746399 327 $aIntroduction to Optimization -- Classical Optimization Algorithms -- Evolutionary and Swarm Optimization -- Introduction to Machine Learning -- Data-Driven Surrogate-Assisted Evolutionary Optimization -- Multi-Surrogate-Assisted Single-Objective Optimization -- Surrogate-Assisted Multi-Objective Evolutionary Optimization. 330 $aIntended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available. This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v975 606 $aEngineering$xData processing 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aData Engineering 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aEngineering$xData processing. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aData Engineering. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a620.00285 700 $aJin$b Yaochu$0977855 702 $aWang$b Handing 702 $aSun$b Chaoli 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910488717903321 996 $aData-Driven Evolutionary Optimization$92227712 997 $aUNINA