000 05752nam a22006855i 4500
001 978-3-319-16501-1
003 DE-He213
005 20210120143319.0
007 cr nn 008mamaa
008 150314s2015 gw | s |||| 0|eng d
020 _a9783319165011
_9978-3-319-16501-1
024 7 _a10.1007/978-3-319-16501-1
_2doi
050 4 _aQA76.9.A43
072 7 _aUMB
_2bicssc
072 7 _aCOM051300
_2bisacsh
072 7 _aUMB
_2thema
082 0 4 _a005.1
_223
245 1 0 _aGenetic Programming
_h[electronic resource] :
_b18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings /
_cedited by Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXII, 231 p. 56 illus.
_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 ;
_v9025
_aLecture Notes in Computer Science
_v9025
505 0 _aThe Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems -- Learning Text Patterns Using Separate-and-Conquer Genetic Programming -- Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation -- Grant Dick On the Generalization Ability of Geometric Semantic Genetic Programming -- Automatic Derivation of Search Objectives for Test-Based Genetic Programming -- Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulation -- M3GP – Multiclass Classification with GP -- Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling -- Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function Specification -- Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs -- Tapped Delay Lines for GP Streaming Data Classification with Label Budgets -- Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates -- Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson -- Automatic Evolution of Parallel Recursive Programs -- Proposal and Preliminary Investigation of a Fitness Function for Partial Differential Models -- Evolutionary Methods for the Construction of Cryptographic Boolean Functions -- TEMPLAR – A Framework for Template-Method Hyper-Heuristics -- Circuit Approximation Using Single- and Multi-objective Cartesian GP.
520 _aThis book constitutes the refereed proceedings of the 18th European Conference on Genetic Programming, EuroGP 2015, held in Copenhagen, Spain, in April 2015 co-located with the Evo 2015 events, EvoCOP, Evo MUSART and Evo Applications. The 12 revised full papers presented together with 6 poster papers were carefully reviewed and selected form 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics as diverse as semantic methods, recursive programs, grammatical methods, coevolution, Cartesian GP, feature selection, initialisation procedures, ensemble methods and search objectives; and applications including text processing, cryptography, numerical modelling, software parallelisation, creation and optimisation of circuits, multi-class classification, scheduling and artificial intelligence.
650 0 _aAlgorithms.
650 0 _aComputers.
650 0 _aArtificial intelligence.
650 0 _aApplication software.
650 0 _aComputer science—Mathematics.
650 1 4 _aAlgorithm Analysis and Problem Complexity.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I16021
650 2 4 _aComputation by Abstract Devices.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I16013
650 2 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650 2 4 _aComputer Applications.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I23001
650 2 4 _aDiscrete Mathematics in Computer Science.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I17028
700 1 _aMachado, Penousal.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHeywood, Malcolm I.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMcDermott, James.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCastelli, Mauro.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGarcía-Sánchez, Pablo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBurelli, Paolo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRisi, Sebastian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSim, Kevin.
_eeditor.
_0(orcid)0000-0001-6555-7721
_1https://orcid.org/0000-0001-6555-7721
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319165028
776 0 8 _iPrinted edition:
_z9783319165004
830 0 _aTheoretical Computer Science and General Issues ;
_v9025
830 0 _aLecture Notes in Computer Science ;
_v9025
856 4 0 _uhttps://doi.org/10.1007/978-3-319-16501-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cEBK
999 _c57343
_d57343