LEADER 03125nam 22005655 450 001 9910254170503321 005 20230717191137.0 010 $a3-319-52156-X 024 7 $a10.1007/978-3-319-52156-5 035 $a(CKB)3710000001041167 035 $a(DE-He213)978-3-319-52156-5 035 $a(MiAaPQ)EBC6306502 035 $a(MiAaPQ)EBC5590682 035 $a(Au-PeEL)EBL5590682 035 $a(OCoLC)969344131 035 $a(PPN)198340540 035 $a(EXLCZ)993710000001041167 100 $a20170107d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGenetic Algorithm Essentials /$fby Oliver Kramer 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (IX, 92 p. 38 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v679 311 $a3-319-52155-1 320 $aIncludes bibliographical references and index. 327 $aPart I: Foundations -- Introduction -- Genetic Algorithms -- Parameters -- Part II: Solution Spaces -- Multimodality -- Constraints -- Multiple Objectives -- Part III: Advanced Concepts -- Theory -- Machine Learning -- Applications -- Part IV: Ending -- Summary and Outlook -- Index -- References. 330 $aThis book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v679 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a519.7 700 $aKramer$b Oliver$4aut$4http://id.loc.gov/vocabulary/relators/aut$0761919 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254170503321 996 $aGenetic Algorithm Essentials$92041865 997 $aUNINA