• Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression
  
• Hybrid Structural and Behavioral Diversity Methods in GP
  
• Multi-Population Competitive Coevolution for Anticipation of Tax Evasion
  
• Evolving Artificial General Intelligence for Video Game Controllers
  
• A Detailed Analysis of a PushGP Run
  
• Linear Genomes for Structured Programs
  
• Neutrality, Robustness, and Evolvability in GP
  
• Local Search in GP
  
• PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification
  
• Relational Structure in Program Synthesis Problems with Analogical Reasoning
  
• An Evolutionary Algorithm for Big Data Multi-Class Classification Problems
  
• A Generic Framework for Building Dispersion Operators in the Semantic Space
  
• Assisting Asset Model Development with Evolutionary Augmentation
  
• Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool 

Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.