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020 _a9783030581152
_9978-3-030-58115-2
024 7 _a10.1007/978-3-030-58115-2
_2doi
050 4 _aQA75.5-76.95
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
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072 7 _aUYA
_2thema
082 0 4 _a004.0151
_223
245 1 0 _aParallel Problem Solving from Nature – PPSN XVI
_h[electronic resource] :
_b16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II /
_cedited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, Heike Trautmann.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXXIX, 717 p. 318 illus., 146 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 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v12270
505 0 _aGenetic Programming -- Landscape Analysis -- Multiobjective Optimization -- Real-World Applications -- Reinforcement Learning -- Theoretical Aspects of Nature-Inspired Optimization. .
520 _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.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aComputer science
_xMathematics.
650 0 _aDiscrete mathematics.
650 0 _aSoftware engineering.
650 0 _aMathematical statistics.
650 1 4 _aTheory of Computation.
650 2 4 _aArtificial Intelligence.
650 2 4 _aMathematics of Computing.
650 2 4 _aDiscrete Mathematics in Computer Science.
650 2 4 _aSoftware Engineering.
650 2 4 _aProbability and Statistics in Computer Science.
700 1 _aBäck, Thomas.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPreuss, Mike.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDeutz, André.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWang, Hao.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDoerr, Carola.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aEmmerich, Michael.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTrautmann, Heike.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030581145
776 0 8 _iPrinted edition:
_z9783030581169
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v12270
856 4 0 _uhttps://doi.org/10.1007/978-3-030-58115-2
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912 _aZDB-2-SXCS
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