Sarah L. Thomson

Orcid: 0000-0001-6971-7817

Affiliations:
  • Edinburgh Napier University, UK
  • University of Stirling, Department of Computing Science and Mathematics, Scotland (former)


According to our database1, Sarah L. Thomson authored at least 29 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms.
Soft Comput., September, 2024

Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment.
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.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

The Easiest Hard Problem: Now Even Easier.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Explaining evolutionary feature selection via local optima networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Where the Really Hard Quadratic Assignment Problems Are: The QAP-SAT Instances.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

Information Flow and Laplacian Dynamics on Local Optima Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

The Opaque Nature of Intelligence and the Pursuit of Explainable AI.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Can HP-protein Folding Be Solved with Genetic Algorithms? Maybe not.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Randomness in Local Optima Network Sampling.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Channel Configuration for Neural Architecture: Insights from the Search Space.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

From Fitness Landscapes to Explainable AI and Back.
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.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Frequency Fitness Assignment on JSSP: A Critical Review.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022
The fractal geometry of fitness landscapes at the local optima level.
Nat. Comput., 2022

Fractal Dimension and Perturbation Strength: A Local Optima Networks View.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Universally Hard Hamiltonian Cycle Problem Instances.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

On funnel depths and acceptance criteria in stochastic local search.
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.
Evol. Comput., 2020

The Local Optima Level in Chemotherapy Schedule Optimisation.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

2019
Clarifying the Difference in Local Optima Network Sampling Algorithms.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019

2018
Multifractality and dimensional determinism in local optima networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

On the Fractal Nature of Local Optima Networks.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018

2017
The effect of landscape funnels in QAPLIB instances.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Comparing communities of optima with funnels in combinatorial fitness landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017


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