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010   $a3-319-33383-6
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100   $a20160525d2016      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMachine Learning for Evolution Strategies /$fby Oliver Kramer
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (IX, 124 p. 38 illus. in color.) 
225 1 $aStudies in Big Data,$x2197-6511 ;$v20
311 08$a3-319-33381-X 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aPart I Evolution Strategies -- Part II Machine Learning -- Part III Supervised Learning.
330   $aThis book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search and visualization of high-dimensional optimization processes, and clustering-based niching. After giving an introduction to evolution strategies and machine learning, the book builds the bridge between both worlds with an algorithmic and experimental perspective. Experiments mostly employ a (1+1)-ES and are implemented in Python using the machine learning library scikit-learn. The examples are conducted on typical benchmark problems illustrating algorithmic concepts and their experimental behavior. The book closes with a discussion of related lines of research.
410  0$aStudies in Big Data,$x2197-6511 ;$v20
606   $aComputational intelligence
606   $aComputer simulation
606   $aData mining
606   $aSystem theory
606   $aArtificial intelligence
606   $aComputational Intelligence
606   $aComputer Modelling
606   $aData Mining and Knowledge Discovery
606   $aComplex Systems
606   $aArtificial Intelligence
615  0$aComputational intelligence.
615  0$aComputer simulation.
615  0$aData mining.
615  0$aSystem theory.
615  0$aArtificial intelligence.
615 14$aComputational Intelligence.
615 24$aComputer Modelling.
615 24$aData Mining and Knowledge Discovery.
615 24$aComplex Systems.
615 24$aArtificial Intelligence.
676   $a006.31
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   $a9910739403203321
996   $aMachine Learning for Evolution Strategies$91543088
997   $aUNINA