Partial structure learning by subset walsh transform. - Lee A. Christie; David P. Lonie; John A. W. McCall (UKCI, 2013)

Minimal walsh structure and ordinal linkage of monotonicity-invariant function classes on bit strings. - Lee A. Christie; John A. W. McCall; David P. Lonie (GECCO, 2014)

Structural coherence of problem and algorithm: An analysis for EDAs on all 2-bit and 3-bit problems. - Alexander E. I. Brownlee; John A. W. McCall; Lee A. Christie (CEC, 2015)

Generating Easy and Hard Problems using the Proximate Optimality Principle. - John A. W. McCall; Lee A. Christie; Alexander E. I. Brownlee (GECCO (Companion), 2015)

The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance. - Lee A. Christie (2016)

Interpolated continuous optimisation problems with tunable landscape features. - Benjamin Lacroix; Lee A. Christie; John A. W. McCall (GECCO (Companion), 2017)

Investigating benchmark correlations when comparing algorithms with parameter tuning. - Lee A. Christie; Alexander E. I. Brownlee; John R. Woodward (GECCO (Companion), 2018)

Decentralized Combinatorial Optimization. - Lee A. Christie (PPSN (1), 2020)

Multi-objective evolutionary design of antibiotic treatments. - Gabriela Ochoa; Lee A. Christie; Alexander E. I. Brownlee; Andrew Hoyle (Artif. Intell. Medicine, 2020)

Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms. - Kate Han; Lee A. Christie; Alexandru-Ciprian Zavoianu; John McCall 001 (GECCO Companion, 2021)

Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms. - Martin Fyvie; John A. W. McCall; Lee A. Christie (SGAI Conf., 2021)

Non-Deterministic Solvers and Explainable AI through Trajectory Mining. - Martin Fyvie; John A. W. McCall; Lee A. Christie (SICSA XAI, 2021)

On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems. - Kate Han; Lee A. Christie; Alexandru-Ciprian Zavoianu; John McCall 001 (EUROCAST, 2022)

Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis. - Martin Fyvie; John McCall 001; Lee A. Christie; Alexander E. I. Brownlee (GECCO Companion, 2023)

Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures. - Martin Fyvie; John A. W. McCall; Lee A. Christie; Alexandru-Ciprian Zavoianu; Alexander E. I. Brownlee; Russell Ainslie (SGAI Conf., 2023)

Optimising Public Transport Through the Integration of Micro and Macro-level Simulations. - Kate Han; Lee A. Christie; Alexandru-Ciprian Zavoianu; John A. W. McCall (EUROCAST (1), 2024)

Cost and Performance Comparison of Holistic Solution Approaches for Complex Supply Chains on a Novel Linked Problem Benchmark. - Akinola Ogunsemi; John A. W. McCall; Alexandru-Ciprian Zavoianu; Lee A. Christie (GECCO, 2024)

On the Multi-objective Optimization of Wind Farm Cable Layouts with Regard to Cost and Robustness. - Lee A. Christie; Atakan Sahin; Akinola Ogunsemi; Alexandru-Ciprian Zavoianu; John A. W. McCall (PPSN (4), 2024)

Exploring Representations for Optimizing Connected Autonomous Vehicle Routes in Multi-Modal Transport Networks Using Evolutionary Algorithms. - Kate Han; Lee A. Christie; Alexandru-Ciprian Zavoianu; John A. W. McCall (IEEE Trans. Intell. Transp. Syst., 2024)

Towards explainable metaheuristics: Feature extraction from trajectory mining. - Martin Fyvie; John A. W. McCall; Lee A. Christie; Alexander E. I. Brownlee; Manjinder Singh (Expert Syst. J. Knowl. Eng., 2025)

Towards Explainable Metaheuristics: Feature Mining of Search Trajectories through Principal Component Projection. - Martin Fyvie; John A. W. McCall; Lee A. Christie (ACM Trans. Evol. Learn. Optim., 2025)