Genetic Programming: 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings - Brossura

Brossura

ISBN 10: 3319775545 ISBN 13: 9783319775548

Casa editrice: Springer, 2018

Riassunto

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. 

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2018
• ISBN 10: 3319775545
• ISBN 13: 9783319775548
• Rilegatura: Paperback
• Lingua: Inglese
• Contatto del produttore: non disponibile