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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Castelli, Mauro (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sekanina, Lukas (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhang, Mengjie (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Cagnoni, Stefano (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), García-Sánchez, Pablo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Theoretical Computer Science and General Issues ; 10781
• Θέματα: Algorithms.; Arithmetic and logic units, Computer.; Artificial intelligence.; Data mining.; Data structures (Computer science).; Algorithm Analysis and Problem Complexity.; Arithmetic and Logic Structures.; Artificial Intelligence.; Data Mining and Knowledge Discovery.; Data Structures and Information Theory.

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 we...

Πίνακας περιεχομένων:

• 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. .