000 02792nam a22005535i 4500
001 978-3-319-33383-0
003 DE-He213
005 20200420220217.0
007 cr nn 008mamaa
008 160525s2016 gw | s |||| 0|eng d
020 _a9783319333830
_9978-3-319-33383-0
024 7 _a10.1007/978-3-319-33383-0
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aKramer, Oliver.
_eauthor.
245 1 0 _aMachine Learning for Evolution Strategies
_h[electronic resource] /
_cby Oliver Kramer.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aIX, 124 p. 38 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Big Data,
_x2197-6503 ;
_v20
505 0 _aPart I Evolution Strategies -- Part II Machine Learning -- Part III Supervised Learning.
520 _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.
650 0 _aEngineering.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aComputer simulation.
650 0 _aSociophysics.
650 0 _aEconophysics.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aSimulation and Modeling.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aSocio- and Econophysics, Population and Evolutionary Models.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319333816
830 0 _aStudies in Big Data,
_x2197-6503 ;
_v20
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-33383-0
912 _aZDB-2-ENG
942 _cEBK
999 _c51683
_d51683