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...
Corporate Author: | |
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Other Authors: | , , , , |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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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. .