Chapter 1 Using GP Is NEAT: Evolving Compositional Pattern Production Functions

Chapter 2 Evolving the Topology of Large Scale Deep Neural Networks

Chapter 3 Evolving Graphs by Graph Programming

Chapter 4 Pruning Techniques for Mixed Ensembles of Genetic Programming Models

Chapter 5 Analyzing Feature Importance for Metabolomics Using Genetic Programming

Chapter 6 Generating Redundant Features with Unsupervised Multi-tree Genetic Programming

Chapter 7 On the Automatic Design of a Representation for Grammar-Based Genetic Programming

Chapter 8 Multi-level Grammar Genetic Programming for Scheduling in Heterogeneous Networks

Chapter 9 Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom

Chapter 10 Towards in Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States

Chapter 11 A Multiple Expression Alignment Framework for Genetic Programming

Chapter 12 Multi-objective Evolution of Ultra-Fast General-Purpose Hash Functions

Chapter 13 A Comparative Study on Crossover in Cartesian Genetic Programming

Chapter 15 Geometric Crossover in Syntactic Space

Chapter 16 Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling

Chapter 17 Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming

Chapter 18 Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic Web

Chapter 19 Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling