LEADER 05234nam 22008055 450 001 9910349457603321 005 20251113160554.0 010 $a9783319775531 010 $a3319775537 024 7 $a10.1007/978-3-319-77553-1 035 $a(CKB)4100000002892505 035 $a(DE-He213)978-3-319-77553-1 035 $a(MiAaPQ)EBC6302014 035 $a(MiAaPQ)EBC5590630 035 $a(Au-PeEL)EBL5590630 035 $a(OCoLC)1029605226 035 $a(PPN)225550784 035 $a(EXLCZ)994100000002892505 100 $a20180301d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGenetic Programming $e21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings /$fedited by Mauro Castelli, Lukas Sekanina, Mengjie Zhang, Stefano Cagnoni, Pablo García-Sánchez 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XII, 323 p. 80 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10781 300 $aIncludes index. 311 08$a9783319775524 311 08$a3319775529 327 $aUsing GP Is NEAT: Evolving Compositional Pattern Production Functions -- Evolving the Topology of Large Scale Deep Neural Networks -- Evolving Graphs by Graph Programming -- Pruning Techniques for Mixed Ensembles of Genetic Programming Models -- Analyzing Feature Importance for Metabolomics Using Genetic Programming -- Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming -- On the Automatic Design of a Representation for Grammar-Based Genetic Programming -- Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks -- Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom -- Towards In Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States -- A Multiple Expression Alignment Framework for Genetic Programming -- Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions -- A Comparative Study on Crossover in Cartesian Genetic Programming -- Evolving Better RNAfold Structure Prediction -- Geometric Crossover in Syntactic Space -- Investigating A Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling -- Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming -- Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-Relational Association Rules in the Semantic Web -- Genetic Programming Hyperheuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling. . 330 $aThis book constitutes the refereed proceedings of the 21st European Conference on Genetic Programming, EuroGP 2018, held in Parma, Italy, in April 2018, co-located with the Evo* 2018 events, EvoCOP, EvoMUSART, and EvoApplications. The 11 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics and applications including analysis of feature importance for metabolomics, semantic methods, evolution of boolean networks, generation of redundant features, ensembles of GP models, automatic design of grammatical representations, GP and neuroevolution, visual reinforcement learning, evolution of deep neural networks, evolution of graphs, and scheduling in heterogeneous networks. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10781 606 $aAlgorithms 606 $aComputer arithmetic and logic units 606 $aArtificial intelligence 606 $aData mining 606 $aData structures (Computer science) 606 $aInformation theory 606 $aAlgorithms 606 $aArithmetic and Logic Structures 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aData Structures and Information Theory 615 0$aAlgorithms. 615 0$aComputer arithmetic and logic units. 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aData structures (Computer science). 615 0$aInformation theory. 615 14$aAlgorithms. 615 24$aArithmetic and Logic Structures. 615 24$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aData Structures and Information Theory. 676 $a006.31 702 $aCastelli$b Mauro$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSekanina$b Luka?s?$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Mengjie$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCagnoni$b Stefano$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGarci?a Sa?nchez$b Pablo$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349457603321 996 $aGenetic Programming$9772374 997 $aUNINA