Evolving network structures for text classification using genetic algorithms. - Hayden Andersen; Xiaoying Gao; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2020)

Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. - Hayden Andersen; Andrew Lensen; Bing Xue 001 (CEC, 2021)

Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches. - Hayden Andersen; Sean Stevenson; Tuan Ha; Xiaoying Gao; Bing Xue 001 (CEC, 2021)

Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution. - Hayden Andersen; Andrew Lensen; Will N. Browne; Yi Mei 001 (CEC, 2022)

Improving the search of learning classifier systems through interpretable feature clustering. - Hayden Andersen; Andrew Lensen; Will N. Browne (GECCO Companion, 2022)

Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. - Hayden Andersen; Andrew Lensen; Will N. Browne; Yi Mei 001 (GECCO, 2023)

Intepretable Local Explanations Through Genetic Programming. - Hayden Andersen; Andrew Lensen; Will N. Browne; Yi Mei 001 (GECCO Companion, 2024)