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LEADER 00000cam  22003135a 4500 
008    180301s2018    gw      o     001 0 eng   
020    9783319775531 
020    9783319775524 
050  4 QA76.9.A43|bG464 2018 
245 00 Genetic Programming :|b21st European Conference, EuroGP 
       2018, Parma, Italy, April 4-6, 2018, Proceedings /|cedited
       by Mauro Castelli, Lukas Sekanina, Mengjie Zhang, Stefano 
       Cagnoni, Pablo García-Sánchez. 
250    1st ed. 
260    Cham :|bSpringer International Publishing :|bImprint: 
       Springer,|c2018. 
300    XII, 321 p. ;|b24 cm. 
490 1  Theoretical Computer Science and General Issues ;|v10781 
500    KH-AUL-8 
505 0  Using 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. 
520    This 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. 
650  0 Algorithms 
650  0 Arithmetic and logic units, Computer 
650  0 Artificial intelligence 
650  0 Data mining 
650  0 Data structures (Computer science) 
700 1  Cagnoni, Stefano 
700 1  Castelli, Mauro 
700 1  García-Sánchez, Pablo 
700 1  Sekanina, Lukas 
700 1  Zhang, Mengjie 
830  0 Theoretical Computer Science and General Issues ;|v10781