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.).
EuroGP (Conference) (23rd : 2020 : Seville, Spain); Hu, Ting (Assistant professor of computer science), editor.; Lourenço, Nuno, editor.; Medvet, Eric, editor.; Divina, Federico, editor.; EVOSTAR (Conference) (2020 : Seville, Spain), jointly held conference.
2020
QA76.623
Available Online

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Title 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.).
Meeting Name EuroGP (Conference) (23rd : 2020 : Seville, Spain)
ISBN 9783030440947 (electronic book)
303044094X (electronic book)
9783030440930
DOI https://doi.org/10.1007/978-3-030-44094-7
Published Cham, Switzerland : Springer, 2020.
Language English
Description 1 online resource (x, 295 pages) : illustration.
Item Number 10.1007/978-3-030-44094-7 doi
Call Number QA76.623
Dewey Decimal Classification 006.3/823
Summary 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.
Note International conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 20, 2020).
Added Author Hu, Ting (Assistant professor of computer science), editor.
Lourenço, Nuno, editor.
Medvet, Eric, editor.
Divina, Federico, editor.
Added Meeting Name EVOSTAR (Conference) (2020 : Seville, Spain), jointly held conference.
Series Lecture notes in computer science ; 12101.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
Available in Other Form Print version: 9783030440930
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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.

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