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020 _a9783030589424
_9978-3-030-58942-4
024 7 _a10.1007/978-3-030-58942-4
_2doi
050 4 _aQA297-299.4
072 7 _aPBKS
_2bicssc
072 7 _aMAT041000
_2bisacsh
072 7 _aPBKS
_2thema
082 0 4 _a518
_223
245 1 0 _aIntegration of Constraint Programming, Artificial Intelligence, and Operations Research
_h[electronic resource] :
_b17th International Conference, CPAIOR 2020, Vienna, Austria, September 21–24, 2020, Proceedings /
_cedited by Emmanuel Hebrard, Nysret Musliu.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXXXIII, 532 p. 339 illus., 86 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 ;
_v12296
505 0 _aAlgorithmic -- Hypergraph Decompositions -- Multi-Agent Path Finding -- New Constraint Programming Model -- On-Demand Multimodal Transit Systems -- Integer programming techniques -- Constrained Clustering -- Deep Neural Networks -- •Inference and relaxation methods -- Innovative applications of CP/AI/OR techniques.
520 _aThe volume LNCS 12296 constitutes the papers of the 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research which will be held online in September 2020. The 32 regular papers presented together with 4 abstracts of fast-track papers were carefully reviewed and selected from a total of 72 submissions. Additionally, this volume includes the 4 abstracts and 2 invited papers by plenary speakers. The conference program also included a Master Class on the topic “Recent Advances in Optimization Paradigms and Solving Technology".
650 0 _aNumerical analysis.
650 1 4 _aNumerical Analysis.
700 1 _aHebrard, Emmanuel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMusliu, Nysret.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030589417
776 0 8 _iPrinted edition:
_z9783030589431
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v12296
856 4 0 _uhttps://doi.org/10.1007/978-3-030-58942-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c176995
_d176995