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_a9783030440947 _9978-3-030-44094-7 |
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_a10.1007/978-3-030-44094-7 _2doi |
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_aGenetic Programming _h[electronic resource] : _b23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / _cedited by Ting Hu, Nuno Lourenço, Eric Medvet, Federico Divina. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
|
300 |
_aX, 295 p. 157 illus., 72 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v12101 |
|
505 | 0 | _aHessian Complexity Measure for Genetic Programming-based Imputation Predictor Selection in Symbolic Regression with Incomplete Data -- Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing -- Incremental Evolution and Development of Deep Artificial Neural Networks -- Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming -- Comparing Genetic Programming Approaches for Non-Functional Genetic Improvement -- Automatically Evolving Lookup Tables for Function Approximation -- Optimising Optimisers with Push GP -- An Evolutionary View on Reversible Shift-invariant Transformations -- Benchmarking Manifold Learning Methods on a Large Collection of Datasets -- Ensemble Genetic Programming -- SGP-DT: Semantic Genetic Programming Based on Dynamic Targets -- Effect of Parent Selection Methods on Modularity -- Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models -- Challenges of Program Synthesis withGrammatical Evolution -- Detection of Frailty Using Genetic Programming : The Case of Older People in Piedmont, Italy -- Is k Nearest Neighbours Regression Better than GP -- Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling -- Classification of Autism Genes using Network Science and Linear Genetic Programming. | |
520 | _aThis book constitutes the refereed proceedings of the 23rd European Conference on Genetic Programming, EuroGP 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EvoCOP, EvoMUSART and EvoApplications. The 12 full papers and 6 short papers presented in this book were carefully reviewed and selected from 36 submissions. The papers cover a wide spectrum of topics, including designing GP algorithms for ensemble learning, comparing GP with popular machine learning algorithms, customising GP algorithms for more explainable AI applications to real-world problems. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer systems. | |
650 | 0 | _aComputers, Special purpose. | |
650 | 0 | _aComputer networks . | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer engineering. | |
650 | 1 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aComputer System Implementation. |
650 | 2 | 4 | _aSpecial Purpose and Application-Based Systems. |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aComputer Engineering and Networks. |
700 | 1 |
_aHu, Ting. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aLourenço, Nuno. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aMedvet, Eric. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aDivina, Federico. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030440930 |
776 | 0 | 8 |
_iPrinted edition: _z9783030440954 |
830 | 0 |
_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v12101 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-44094-7 |
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