Sarah L. Thomson

According to our database, Sarah L. Thomson authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Soft Comput., September, 2024

Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment.

Sarah L. Thomson, Gabriela Ochoa, Daan van den Berg, Tianyu Liang, Thomas Weise

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 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

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 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

Proceedings of the 16th International Joint Conference on Computational Intelligence, 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

Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks.

Sarah L. Thomson, Léni K. Le Goff, Emma Hart, Edgar Buchanan

Proceedings of the Genetic and Evolutionary Computation Conference, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

The Easiest Hard Problem: Now Even Easier.

Ruben Horn, Sarah L. Thomson, Daan van den Berg, Pieter Adriaans

Proceedings of the Genetic and Evolutionary Computation Conference 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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Exploring the use of fitness landscape analysis for understanding malware evolution.

Kehinde O. Babaagba, Ritwik Murali, Sarah L. Thomson

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Explaining evolutionary feature selection via local optima networks.

Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Where the Really Hard Quadratic Assignment Problems Are: The QAP-SAT Instances.

Sébastien Vérel, Sarah L. Thomson, Omar Rifki

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

Information Flow and Laplacian Dynamics on Local Optima Networks.

Hendrik Richter, Sarah L. Thomson

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem.

Kristian Verduin, Sarah L. Thomson, Daan van den Berg

Proceedings of the 15th International Joint Conference on Computational Intelligence, 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

Proceedings of the 15th International Joint Conference on Computational Intelligence, 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

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Randomness in Local Optima Network Sampling.

Sarah L. Thomson, Nadarajen Veerapen, Gabriela Ochoa, Daan van den Berg

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Channel Configuration for Neural Architecture: Insights from the Search Space.

Sarah L. Thomson, Gabriela Ochoa, Nadarajen Veerapen, Krzysztof Michalak

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

From Fitness Landscapes to Explainable AI and Back.

Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, Daan van den Berg

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality.

Kevin Carrie Graham, Sarah Louise Thomson, Alexander Edward Ian Brownlee

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Frequency Fitness Assignment on JSSP: A Critical Review.

Ege de Bruin, Sarah L. Thomson, Daan van den Berg

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022

The fractal geometry of fitness landscapes at the local optima level.

Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel

Nat. Comput., 2022

Fractal Dimension and Perturbation Strength: A Local Optima Networks View.

Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Universally Hard Hamiltonian Cycle Problem Instances.

Joeri Sleegers, Sarah L. Thomson, Daan van den Berg

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

On funnel depths and acceptance criteria in stochastic local search.

Sarah L. Thomson, Gabriela Ochoa

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2020

Inferring Future Landscapes: Sampling the Local Optima Level.

Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel, Nadarajen Veerapen

Evol. Comput., 2020

The Local Optima Level in Chemotherapy Schedule Optimisation.

Sarah L. Thomson, Gabriela Ochoa

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

2019

Clarifying the Difference in Local Optima Network Sampling Algorithms.

Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019

2018

Multifractality and dimensional determinism in local optima networks.

Sarah L. Thomson, Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, David E. Cairns

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

On the Fractal Nature of Local Optima Networks.

Sarah L. Thomson, Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, Paul McMenemy

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018

2017

The effect of landscape funnels in QAPLIB instances.

Sarah L. Thomson, Gabriela Ochoa, Fabio Daolio, Nadarajen Veerapen

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Comparing communities of optima with funnels in combinatorial fitness landscapes.

Sarah L. Thomson, Fabio Daolio, Gabriela Ochoa

Proceedings of the Genetic and Evolutionary Computation Conference, 2017