| 2026 | PPSN | Untangling the Tapestry: k-Bounded Problems and Local Optima Networks. | Sarah L. Thomson, Michal Przewozniczek |
| 2025 | COMPSAC | Evaluating the Application and Performance of Regression Models in Predicting Cycling Power Output. | Euan Walker, Oluwaseun Bamgboye, Sarah L. Thomson, Xiaodong Liu |
| 2025 | GECCO | Algorithm Explainability for Malware Evolution with Search Trajectory Networks. | Kehinde O. Babaagba, Ritwik Murali, Sarah L. Thomson |
| 2025 | GECCO | Subfunction Structure Matters: A New Perspective on Local Optima Networks. | Sarah L. Thomson, Michal Witold Przewozniczek |
| 2024 | CEC | Information Flow and Laplacian Dynamics on Local Optima Networks. | Hendrik Richter, Sarah L. Thomson |
| 2024 | EvoCOP | Where the Really Hard Quadratic Assignment Problems Are: The QAP-SAT Instances. | Sbastien Vrel, Sarah L. Thomson, Omar Rifki |
| 2024 | GECCO | Explaining evolutionary feature selection via local optima networks. | Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee |
| 2024 | GECCO | Exploring the use of fitness landscape analysis for understanding malware evolution. | Kehinde O. Babaagba, Ritwik Murali, Sarah L. Thomson |
| 2024 | GECCO | A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. | Alexander E. I. Brownlee, Sarah L. Thomson, Rachael Oladapo |
| 2024 | GECCO | The Easiest Hard Problem: Now Even Easier. | Ruben Horn, Sarah L. Thomson, Daan van den Berg, Pieter Adriaans |
| 2024 | GECCO | Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation. | Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman |
| 2024 | GECCO | Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks. | Sarah L. Thomson, Lni K. Le Goff, Emma Hart, Edgar Buchanan |
| 2024 | IJCCI | Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem. | Jiayang Chen, Zhize Wu, Sarah L. Thomson, Thomas Weise |
| 2024 | IJCCI | The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes. | Iris Pijning, Levi Koppenhol, Danny Dijkzeul, Nielis Brouwer, Sarah L. Thomson, Daan van den Berg |
| 2024 | PPSN | A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories. | Niki van Stein, Sarah L. Thomson, Anna V. Kononova |
| 2024 | PPSN | Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment. | Sarah L. Thomson, Gabriela Ochoa, Daan van den Berg, Tianyu Liang, Thomas Weise |
| 2023 | GECCO | From Fitness Landscapes to Explainable AI and Back. | Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, Daan van den Berg |
| 2023 | GECCO | Channel Configuration for Neural Architecture: Insights from the Search Space. | Sarah L. Thomson, Gabriela Ochoa, Nadarajen Veerapen, Krzysztof Michalak |
| 2023 | GECCO | Randomness in Local Optima Network Sampling. | Sarah L. Thomson, Nadarajen Veerapen, Gabriela Ochoa, Daan van den Berg |
| 2023 | IJCCI | Can HP-protein Folding Be Solved with Genetic Algorithms? Maybe not. | Reitze Jansen, Ruben Horn, Okke van Eck, Kristian Verduin, Sarah L. Thomson, Daan van den Berg |
| 2023 | IJCCI | The Opaque Nature of Intelligence and the Pursuit of Explainable AI. | Sarah L. Thomson, Niki van Stein, Daan van den Berg, Cees van Leeuwen |
| 2023 | IJCCI | Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem. | Kristian Verduin, Sarah L. Thomson, Daan van den Berg |
| 2022 | GECCO | On funnel depths and acceptance criteria in stochastic local search. | Sarah L. Thomson, Gabriela Ochoa |
| 2022 | IJCCI | Universally Hard Hamiltonian Cycle Problem Instances. | Joeri Sleegers, Sarah L. Thomson, Daan van den Berg |
| 2022 | PPSN | Fractal Dimension and Perturbation Strength: A Local Optima Networks View. | Sarah L. Thomson, Gabriela Ochoa, Sbastien Vrel |
| 2018 | GECCO | Multifractality and dimensional determinism in local optima networks. | Sarah L. Thomson, Sbastien Vrel, Gabriela Ochoa, Nadarajen Veerapen, David E. Cairns |
| 2017 | GECCO | Comparing communities of optima with funnels in combinatorial fitness landscapes. | Sarah L. Thomson, Fabio Daolio, Gabriela Ochoa |
| 2017 | GECCO | The effect of landscape funnels in QAPLIB instances. | Sarah L. Thomson, Gabriela Ochoa, Fabio Daolio, Nadarajen Veerapen |