Description
Book Synopsis.- Ghost Swarms: Learning Swarm Rules from Environmental Changes Alone.
.- A Systematic Evaluation of Evolving Highly Nonlinear Boolean
Functions in Odd Sizes.
.- Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP.
.- Multi-Objective Evolutionary Design of Explainable EEG Classifier.
.- On the Effectiveness of Crossover Operators in Cartesian Genetic
Programming.
.- Population Diversity, Information Theory and Genetic Improvement.
.- Introducing Crossover in SLIM-GSGP.
.- Exploring the Integration of Cellular Structures in Genetic
Programming-based Methods.
.- Ant-based Metaheuristics Struggle to Solve the Cartesian Genetic
Programming Learning Task.
.- Designing Lookahead Relocation Rules for the Container Relocation
Problem with Genetic Programming.
.- Evolved and Transparent Pipelines for Biomedical Image Classification.
.- Unified Piecewise Symbolic Regression.
.- Was Tournament Selection All We Ever Needed? A Critical Reflection
on Lexicase Selection.
.- The Role of Stepping Stones in MAP-Elites: Insights from Search
Trajectory Networks.
.- Micro-Step Time-Series Regression: Insights from System Identification
Using Symbolic Regression.
