Chapter 1 Characterizing the Effects of Random Subsampling on Lexicase Selection

Chapter 2 It Is Time for New Perspectives on How to Fight Bloat in GP

Chapter 3 Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives

Chapter 4 Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics?

Chapter 5 Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication

Chapter 6 Temporal Memory Sharing in Visual Reinforcement Learning

Chapter 7 The Evolution of Representations in Genetic Programming Trees

Chapter 8 How Competitive Is Genetic Programming in Business Data Science Applications?

Chapter 9 Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming

Chapter 10 Evolutionary Computation and AI Safety

Chapter 11 Genetic Programming Symbolic Regression: What Is the Prior on the Prediction?

Chapter 12 Hands-on Artificial Evolution Through Brain Programming

Chapter 13 Comparison of Linear Genome Representations for Software Synthesis

Chapter 14 Enhanced Optimization with Composite Objectives and Novelty Pulsation

Chapter 15 New Pathways in Coevolutionary Computation

Chapter 16 2019 Evolutionary Algorithms Review

Chapter 17 Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model

Chapter 19 An Evolutionary System for Better Automatic Software Repair