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cover Genetic programming : 23rd ...
Genetic programming : 23rd European Conference, EuroGP 2020, held as part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings

This 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

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Título:
Genetic programming : 23rd European Conference, EuroGP 2020, held as part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings / Ting Hu, Nuno Lourenço, Eric Medvet, Federico Divina (eds.).
Editorial:
Cham, Switzerland : Springer, 2020
Descripción física:
1 online resource (x, 295 pages) : illustrations (some color)
Variantes del título:
EuroGP 2020
Mención de serie:
Lecture notes in computer science ; 12101
LNCS sublibrary. SL 1, Theoretical computer science and general issues
Nota general:
International conference proceedings
Includes author index
Contenido:
Hessian 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 with Grammatical 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
Copyright/Depósito Legal:
1153285364 1156384026
ISBN:
9783030440947 ( electronic bk.)
303044094X ( electronic bk.)
9783030440930 ( print)
3030440931
9783030440930
9783030440954 ( print)
3030440958
Materia:
Autores:
Congresos:
EVOSTAR (Conference) ( 2020 :. Seville, Spain),. jointly held conference
Enlace a formato físico adicional:
Printed edition: 9783030440930
Printed edition: 9783030440954
Punto acceso adicional serie-Título:
Lecture notes in computer science ; 12101
LNCS sublibrary. SL 1, Theoretical computer science and general issues

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