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ORCIDSarah L. Thomson
Person information
- affiliation: Edinburgh Napier University, UK
- affiliation (former): University of Stirling, Department of Computing Science and Mathematics, Scotland
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2020 – today
- 2024
[j3]Tianyu Liang, Zhize Wu
, Jörg Lässig, Daan van den Berg, Sarah L. Thomson, Thomas Weise:
Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms. Soft Comput. 28(17-18): 9495-9508 (2024)- [c26]Hendrik Richter, Sarah L. Thomson:
Information Flow and Laplacian Dynamics on Local Optima Networks. CEC 2024: 1-8 - [c25]Sébastien Vérel, Sarah L. Thomson, Omar Rifki:
Where the Really Hard Quadratic Assignment Problems Are: The QAP-SAT Instances. EvoStar 2024: 129-145 - [c24]Ruben Horn, Sarah L. Thomson, Daan van den Berg, Pieter Adriaans:
The Easiest Hard Problem: Now Even Easier. GECCO Companion 2024: 97-98 - [c23]Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee:
Explaining evolutionary feature selection via local optima networks. GECCO Companion 2024: 1573-1581 - [c22]Alexander E. I. Brownlee, Sarah L. Thomson, Rachael Oladapo:
A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. GECCO Companion 2024: 1695-1701 - [c21]Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman:
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation. GECCO 2024 - [c20]Sarah L. Thomson, Léni K. Le Goff, Emma Hart, Edgar Buchanan:
Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks. GECCO 2024 - [c19]Niki van Stein, Sarah L. Thomson, Anna V. Kononova:
A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories. PPSN (2) 2024: 36-50 - [c18]Sarah L. Thomson, Gabriela Ochoa, Daan van den Berg, Tianyu Liang, Thomas Weise:
Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment. PPSN (1) 2024: 377-392 - [i5]Hendrik Richter, Sarah L. Thomson:
Information flow and Laplacian dynamics on local optima networks. CoRR abs/2401.09229 (2024) - [i4]Sarah L. Thomson, Léni K. Le Goff, Emma Hart, Edgar Buchanan:
Understanding fitness landscapes in morpho-evolution via local optima networks. CoRR abs/2402.07822 (2024) - [i3]Sébastien Vérel, Sarah L. Thomson, Omar Rifki:
Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances. CoRR abs/2403.02783 (2024) - [i2]Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman:
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation. CoRR abs/2404.06557 (2024) - [i1]Niki van Stein, Sarah L. Thomson, Anna V. Kononova:
A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories. CoRR abs/2404.17323 (2024) - 2023
- [c17]Ege de Bruin, Sarah L. Thomson, Daan van den Berg:
Frequency Fitness Assignment on JSSP: A Critical Review. EvoApplications@EvoStar 2023: 351-363 - [c16]Kevin Carrie Graham, Sarah Louise Thomson, Alexander Edward Ian Brownlee:
Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. GECCO Companion 2023: 67-68 - [c15]Sarah L. Thomson, Gabriela Ochoa, Nadarajen Veerapen, Krzysztof Michalak:
Channel Configuration for Neural Architecture: Insights from the Search Space. GECCO 2023: 1267-1275 - [c14]Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, Daan van den Berg:
From Fitness Landscapes to Explainable AI and Back. GECCO Companion 2023: 1663-1667 - [c13]Sarah L. Thomson, Nadarajen Veerapen, Gabriela Ochoa, Daan van den Berg:
Randomness in Local Optima Network Sampling. GECCO Companion 2023: 2099-2107 - [c12]Reitze Jansen, Ruben Horn, Okke van Eck, Kristian Verduin, Sarah L. Thomson, Daan van den Berg:
Can HP-protein Folding Be Solved with Genetic Algorithms? Maybe not. IJCCI 2023: 131-140 - [c11]Kristian Verduin, Sarah L. Thomson, Daan van den Berg:
Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem. IJCCI 2023: 246-257 - [c10]Sarah L. Thomson, Niki van Stein, Daan van den Berg, Cees van Leeuwen:
The Opaque Nature of Intelligence and the Pursuit of Explainable AI. IJCCI 2023: 555-564 - 2022
- [j2]Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel:
The fractal geometry of fitness landscapes at the local optima level. Nat. Comput. 21(2): 317-333 (2022) - [c9]Sarah L. Thomson, Gabriela Ochoa:
On funnel depths and acceptance criteria in stochastic local search. GECCO 2022: 287-295 - [c8]Joeri Sleegers, Sarah L. Thomson, Daan van den Berg:
Universally Hard Hamiltonian Cycle Problem Instances. IJCCI 2022: 105-111 - [c7]Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel:
Fractal Dimension and Perturbation Strength: A Local Optima Networks View. PPSN (1) 2022: 562-574 - 2020
- [j1]Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel, Nadarajen Veerapen:
Inferring Future Landscapes: Sampling the Local Optima Level. Evol. Comput. 28(4): 621-641 (2020) - [c6]Sarah L. Thomson, Gabriela Ochoa:
The Local Optima Level in Chemotherapy Schedule Optimisation. EvoCOP 2020: 197-213
2010 – 2019
- 2019
- [c5]Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel:
Clarifying the Difference in Local Optima Network Sampling Algorithms. EvoCOP 2019: 163-178 - 2018
- [c4]Sarah L. Thomson, Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, Paul McMenemy:
On the Fractal Nature of Local Optima Networks. EvoCOP 2018: 18-33 - [c3]Sarah L. Thomson, Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, David E. Cairns:
Multifractality and dimensional determinism in local optima networks. GECCO 2018: 371-378 - 2017
- [c2]Sarah L. Thomson, Fabio Daolio, Gabriela Ochoa:
Comparing communities of optima with funnels in combinatorial fitness landscapes. GECCO 2017: 377-384 - [c1]Sarah L. Thomson, Gabriela Ochoa, Fabio Daolio, Nadarajen Veerapen:
The effect of landscape funnels in QAPLIB instances. GECCO (Companion) 2017: 1495-1500
Coauthor Index
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last updated on 2024-11-07 21:31 CET by the dblp team
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