Comparing communities of optima with funnels in combinatorial fitness landscapes. - Sarah L. Thomson; Fabio Daolio; Gabriela Ochoa (GECCO, 2017)

The effect of landscape funnels in QAPLIB instances. - Sarah L. Thomson; Gabriela Ochoa; Fabio Daolio; Nadarajen Veerapen (GECCO (Companion), 2017)

On the Fractal Nature of Local Optima Networks. - Sarah L. Thomson; Sébastien Vérel; Gabriela Ochoa; Nadarajen Veerapen; Paul McMenemy (EvoCOP, 2018)

Multifractality and dimensional determinism in local optima networks. - Sarah L. Thomson; Sébastien Vérel; Gabriela Ochoa; Nadarajen Veerapen; David E. Cairns (GECCO, 2018)

Clarifying the Difference in Local Optima Network Sampling Algorithms. - Sarah L. Thomson; Gabriela Ochoa; Sébastien Vérel (EvoCOP, 2019)

The Local Optima Level in Chemotherapy Schedule Optimisation. - Sarah L. Thomson; Gabriela Ochoa (EvoCOP, 2020)

Inferring Future Landscapes: Sampling the Local Optima Level. - Sarah L. Thomson; Gabriela Ochoa; Sébastien Vérel; Nadarajen Veerapen (Evol. Comput., 2020)

On funnel depths and acceptance criteria in stochastic local search. - Sarah L. Thomson; Gabriela Ochoa (GECCO, 2022)

Universally Hard Hamiltonian Cycle Problem Instances. - Joeri Sleegers; Sarah L. Thomson; Daan van den Berg (IJCCI, 2022)

Fractal Dimension and Perturbation Strength: A Local Optima Networks View. - Sarah L. Thomson; Gabriela Ochoa; Sébastien Vérel (PPSN (1), 2022)

The fractal geometry of fitness landscapes at the local optima level. - Sarah L. Thomson; Gabriela Ochoa; Sébastien Vérel (Nat. Comput., 2022)

Frequency Fitness Assignment on JSSP: A Critical Review. - Ege de Bruin; Sarah L. Thomson; Daan van den Berg (EvoApplications@EvoStar, 2023)

Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. - Kevin Carrie Graham; Sarah Louise Thomson; Alexander Edward Ian Brownlee (GECCO Companion, 2023)

From Fitness Landscapes to Explainable AI and Back. - Sarah L. Thomson; Jason Adair; Alexander E. I. Brownlee; Daan van den Berg (GECCO Companion, 2023)

Channel Configuration for Neural Architecture: Insights from the Search Space. - Sarah L. Thomson; Gabriela Ochoa; Nadarajen Veerapen; Krzysztof Michalak (GECCO, 2023)

Randomness in Local Optima Network Sampling. - Sarah L. Thomson; Nadarajen Veerapen; Gabriela Ochoa; Daan van den Berg (GECCO Companion, 2023)

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 (IJCCI, 2023)

The Opaque Nature of Intelligence and the Pursuit of Explainable AI. - Sarah L. Thomson; Niki van Stein; Daan van den Berg; Cees van Leeuwen (IJCCI, 2023)

Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem. - Kristian Verduin; Sarah L. Thomson; Daan van den Berg (IJCCI, 2023)

Information Flow and Laplacian Dynamics on Local Optima Networks. - Hendrik Richter 001; Sarah L. Thomson (CEC, 2024)

Where the Really Hard Quadratic Assignment Problems Are: The QAP-SAT Instances. - Sébastien Vérel; Sarah L. Thomson; Omar Rifki (EvoStar, 2024)

Explaining evolutionary feature selection via local optima networks. - Jason Adair; Sarah L. Thomson; Alexander E. I. Brownlee (GECCO Companion, 2024)

Exploring the use of fitness landscape analysis for understanding malware evolution. - Kehinde O. Babaagba; Ritwik Murali; Sarah L. Thomson (GECCO Companion, 2024)

A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. - Alexander E. I. Brownlee; Sarah L. Thomson; Rachael Oladapo (GECCO Companion, 2024)

The Easiest Hard Problem: Now Even Easier. - Ruben Horn; Sarah L. Thomson; Daan van den Berg; Pieter Adriaans (GECCO Companion, 2024)

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation. - Cedric J. Rodriguez; Sarah L. Thomson; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2024)

Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks. - Sarah L. Thomson; Léni K. Le Goff; Emma Hart; Edgar Buchanan (GECCO, 2024)

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 001 (IJCCI, 2024)

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 (IJCCI, 2024)

A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories. - Niki van Stein; Sarah L. Thomson; Anna V. Kononova (PPSN (2), 2024)

Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment. - Sarah L. Thomson; Gabriela Ochoa; Daan van den Berg; Tianyu Liang; Thomas Weise 001 (PPSN (1), 2024)

Software for the paper: Temporal true and surrogate fitness landscape analysis for expensive bi-objective optimisation. - Cedric J. Rodriguez; Sarah L. Thomson; Tanja Alderliesten; Peter A. N. Bosman (Zenodo, 2024)

Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms. - Tianyu Liang; Zhize Wu; Jörg Lässig; Daan van den Berg; Sarah L. Thomson; Thomas Weise 001 (Soft Comput., 2024)

Into the Black Box: Mining Variable Importance with XAI. - Kelly Hunter; Sarah L. Thomson; Emma Hart (EvoApplications (2), 2025)

Stalling in Space: Attractor Analysis for Any Algorithm. - Sarah L. Thomson; Quentin Renau; Diederick Vermetten; Emma Hart; Niki van Stein; Anna V. Kononova (EvoApplications (2), 2025)

Subfunction Structure Matters: A New Perspective on Local Optima Networks. - Sarah L. Thomson; Michal Witold Przewozniczek (GECCO, 2025)