Genetic Programming  23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings /  [electronic resource] : 
edited by Ting Hu, Nuno Lourenço, Eric Medvet, Federico Divina. 
 - 1st ed. 2020. 
 - X, 295 p. 157 illus., 72 illus. in color.  online resource. 
 - Theoretical Computer Science and General Issues,  12101  2512-2029 ; .
 - Theoretical Computer Science and General Issues,  12101 .
<br/><br/>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 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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783030440947 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-44094-7  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Computer systems.<br/>Computers, Special purpose.<br/>Computer networks .<br/>Artificial intelligence.<br/>Computer engineering.<br/>Theory of Computation.<br/>Computer System Implementation.<br/>Special Purpose and Application-Based Systems.<br/>Computer Communication Networks.<br/>Artificial Intelligence.<br/>Computer Engineering and Networks.
<br/><br/><label>LC Class. No.: </label>QA75.5-76.95 
<br/><br/><label>Dewey Class. No.: </label>004.0151