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

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...

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Corporate Author: SpringerLink (Online service)
Other Authors: Castelli, Mauro. (Editor, http://id.loc.gov/vocabulary/relators/edt), Sekanina, Lukas. (Editor, http://id.loc.gov/vocabulary/relators/edt), Zhang, Mengjie. (Editor, http://id.loc.gov/vocabulary/relators/edt), Cagnoni, Stefano. (Editor, http://id.loc.gov/vocabulary/relators/edt), García-Sánchez, Pablo. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Theoretical Computer Science and General Issues ; 10781
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-77553-1
Table of Contents:
  • 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. .