Sarah L. Thomson

45 papers A 7B 5C 6Journal 9Unranked 16
YearRankTypeTitle / Venue / Authors
2025 — conf
Algorithm Explainability for Malware Evolution with Search Trajectory Networks.
GECCO Companion
Kehinde O. Babaagba, Ritwik Murali, Sarah L. Thomson
2025 — ed.
Applications of Evolutionary Computation - 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings, Part I
EvoApplications (2)
Pablo García-Sánchez, Emma Hart, Sarah L. Thomson
2025 — ed.
Applications of Evolutionary Computation - 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings, Part II
EvoApplications (2)
Pablo García-Sánchez, Emma Hart, Sarah L. Thomson
2025 B conf
Evaluating the Application and Performance of Regression Models in Predicting Cycling Power Output.
COMPSAC
Euan Walker, Oluwaseun Bamgboye, Sarah L. Thomson, Xiaodong Liu
2025 — conf
Into the Black Box: Mining Variable Importance with XAI.
EvoApplications (2)
Kelly Hunter, Sarah L. Thomson, Emma Hart
2025 — conf
Stalling in Space: Attractor Analysis for Any Algorithm.
EvoApplications (2)
Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova
2025 A conf
Subfunction Structure Matters: A New Perspective on Local Optima Networks.
GECCO
Sarah L. Thomson, Michal Witold Przewozniczek
2024 — conf
A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare.
GECCO Companion
Alexander E. I. Brownlee, Sarah L. Thomson, Rachael Oladapo
2024 — conf
A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories.
PPSN (2)
Niki van Stein, Sarah L. Thomson, Anna V. Kononova
2024 J jnl
A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories.
CoRR
Niki van Stein, Sarah L. Thomson, Anna V. Kononova
2024 J jnl
Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms.
Soft Comput.
Tianyu Liang, Zhize Wu, Jörg Lässig, Daan van den Berg, Sarah L. Thomson, Thomas Weise
2024 — conf
Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment.
PPSN (1)
Sarah L. Thomson, Gabriela Ochoa, Daan van den Berg, Tianyu Liang, Thomas Weise
2024 — conf
Explaining evolutionary feature selection via local optima networks.
GECCO Companion
Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee
2024 — conf
Exploring the use of fitness landscape analysis for understanding malware evolution.
GECCO Companion
Kehinde O. Babaagba, Ritwik Murali, Sarah L. Thomson
2024 — conf
Factors Impacting Landscape Ruggedness in Control Problems: A Case Study.
WIVACE
Michel El Saliby, Eric Medvet, Giorgia Nadizar, Erica Salvato, Sarah L. Thomson
2024 C conf
Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem.
IJCCI
Jiayang Chen, Zhize Wu, Sarah L. Thomson, Thomas Weise
2024 B conf
Information Flow and Laplacian Dynamics on Local Optima Networks.
CEC
Hendrik Richter, Sarah L. Thomson
2024 J jnl
Information flow and Laplacian dynamics on local optima networks.
CoRR
Hendrik Richter, Sarah L. Thomson
2024 J jnl
Stalling in Space: Attractor Analysis for any Algorithm.
CoRR
Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova
2024 A conf
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation.
GECCO
Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman
2024 J jnl
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation.
CoRR
Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman
2024 — conf
The Easiest Hard Problem: Now Even Easier.
GECCO Companion
Ruben Horn, Sarah L. Thomson, Daan van den Berg, Pieter Adriaans
2024 C conf
The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes.
IJCCI
Iris Pijning, Levi Koppenhol, Danny Dijkzeul, Nielis Brouwer, Sarah L. Thomson, Daan van den Berg
2024 A conf
Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks.
GECCO
Sarah L. Thomson, Léni K. Le Goff, Emma Hart, Edgar Buchanan
2024 J jnl
Understanding fitness landscapes in morpho-evolution via local optima networks.
CoRR
Sarah L. Thomson, Léni K. Le Goff, Emma Hart, Edgar Buchanan
2024 — conf
Where the Really Hard Quadratic Assignment Problems Are: The QAP-SAT Instances.
EvoStar
Sébastien Vérel, Sarah L. Thomson, Omar Rifki
2024 J jnl
Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances.
CoRR
Sébastien Vérel, Sarah L. Thomson, Omar Rifki
2023 C conf
Can HP-protein Folding Be Solved with Genetic Algorithms? Maybe not.
IJCCI
Reitze Jansen, Ruben Horn, Okke van Eck, Kristian Verduin, Sarah L. Thomson, Daan van den Berg
2023 A conf
Channel Configuration for Neural Architecture: Insights from the Search Space.
GECCO
Sarah L. Thomson, Gabriela Ochoa, Nadarajen Veerapen, Krzysztof Michalak
2023 — conf
Frequency Fitness Assignment on JSSP: A Critical Review.
EvoApplications@EvoStar
Ege de Bruin, Sarah L. Thomson, Daan van den Berg
2023 — conf
From Fitness Landscapes to Explainable AI and Back.
GECCO Companion
Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, Daan van den Berg
2023 — conf
Randomness in Local Optima Network Sampling.
GECCO Companion
Sarah L. Thomson, Nadarajen Veerapen, Gabriela Ochoa, Daan van den Berg
2023 C conf
The Opaque Nature of Intelligence and the Pursuit of Explainable AI.
IJCCI
Sarah L. Thomson, Niki van Stein, Daan van den Berg, Cees van Leeuwen
2023 C conf
Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem.
IJCCI
Kristian Verduin, Sarah L. Thomson, Daan van den Berg
2022 — conf
Fractal Dimension and Perturbation Strength: A Local Optima Networks View.
PPSN (1)
Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel
2022 A conf
On funnel depths and acceptance criteria in stochastic local search.
GECCO
Sarah L. Thomson, Gabriela Ochoa
2022 J jnl
The fractal geometry of fitness landscapes at the local optima level.
Nat. Comput.
Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel
2022 C conf
Universally Hard Hamiltonian Cycle Problem Instances.
IJCCI
Joeri Sleegers, Sarah L. Thomson, Daan van den Berg
2020 J jnl
Inferring Future Landscapes: Sampling the Local Optima Level.
Evol. Comput.
Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel, Nadarajen Veerapen
2020 B conf
The Local Optima Level in Chemotherapy Schedule Optimisation.
EvoCOP
Sarah L. Thomson, Gabriela Ochoa
2019 B conf
Clarifying the Difference in Local Optima Network Sampling Algorithms.
EvoCOP
Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel
2018 A conf
Multifractality and dimensional determinism in local optima networks.
GECCO
Sarah L. Thomson, Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, David E. Cairns
2018 B conf
On the Fractal Nature of Local Optima Networks.
EvoCOP
Sarah L. Thomson, Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, Paul McMenemy
2017 A conf
Comparing communities of optima with funnels in combinatorial fitness landscapes.
GECCO
Sarah L. Thomson, Fabio Daolio, Gabriela Ochoa
2017 — conf
The effect of landscape funnels in QAPLIB instances.
GECCO (Companion)
Sarah L. Thomson, Gabriela Ochoa, Fabio Daolio, Nadarajen Veerapen