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Sarah L. Thomson

Sarah Louise Thomson

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

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2020 – today

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2024
[j3]
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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)
[c29]
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Hendrik Richter, Sarah L. Thomson:
Information Flow and Laplacian Dynamics on Local Optima Networks. CEC 2024: 1-8
[c28]
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Sébastien Vérel, Sarah L. Thomson, Omar Rifki:
Where the Really Hard Quadratic Assignment Problems Are: The QAP-SAT Instances. EvoStar 2024: 129-145
[c27]
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Kehinde O. Babaagba, Ritwik Murali, Sarah L. Thomson:
Exploring the use of fitness landscape analysis for understanding malware evolution. GECCO Companion 2024: 77-78
[c26]
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Ruben Horn, Sarah L. Thomson, Daan van den Berg, Pieter Adriaans:
The Easiest Hard Problem: Now Even Easier. GECCO Companion 2024: 97-98
[c25]
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Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee:
Explaining evolutionary feature selection via local optima networks. GECCO Companion 2024: 1573-1581
[c24]
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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
[c23]
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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
[c22]
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Sarah L. Thomson, Léni K. Le Goff, Emma Hart, Edgar Buchanan:
Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks. GECCO 2024
[c21]
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Jiayang Chen, Zhize Wu, Sarah L. Thomson, Thomas Weise:
Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem. IJCCI 2024: 27-37
[c20]
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Iris Pijning, Levi Koppenhol, Danny Dijkzeul, Nielis Brouwer, Sarah L. Thomson, Daan van den Berg:
The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes. IJCCI 2024: 250-260
[c19]
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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]
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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]
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  - journals/corr/abs-2401-09229
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Hendrik Richter, Sarah L. Thomson:
Information flow and Laplacian dynamics on local optima networks. CoRR abs/2401.09229 (2024)
[i4]
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  - journals/corr/abs-2402-07822
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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]
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  - journals/corr/abs-2403-02783
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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]
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  - journals/corr/abs-2404-06557
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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]
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  - journals/corr/abs-2404-17323
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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]
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  - conf/evoapps/BruinTB13
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Ege de Bruin, Sarah L. Thomson, Daan van den Berg:
Frequency Fitness Assignment on JSSP: A Critical Review. EvoApplications@EvoStar 2023: 351-363
[c16]
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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]
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Sarah L. Thomson, Gabriela Ochoa, Nadarajen Veerapen, Krzysztof Michalak:
Channel Configuration for Neural Architecture: Insights from the Search Space. GECCO 2023: 1267-1275
[c14]
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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]
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Sarah L. Thomson, Nadarajen Veerapen, Gabriela Ochoa, Daan van den Berg:
Randomness in Local Optima Network Sampling. GECCO Companion 2023: 2099-2107
[c12]
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  - conf/ijcci/JansenHEVTB23
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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]
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  - conf/ijcci/VerduinTB23
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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]
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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]
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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]
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Sarah L. Thomson, Gabriela Ochoa:
On funnel depths and acceptance criteria in stochastic local search. GECCO 2022: 287-295
[c8]
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  - conf/ijcci/SleegersTB22
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Joeri Sleegers, Sarah L. Thomson, Daan van den Berg:
Universally Hard Hamiltonian Cycle Problem Instances. IJCCI 2022: 105-111
[c7]
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Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel:
Fractal Dimension and Perturbation Strength: A Local Optima Networks View. PPSN (1) 2022: 562-574
2020
[j1]
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  - journals/ec/ThomsonOVV20
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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]
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Sarah L. Thomson, Gabriela Ochoa:
The Local Optima Level in Chemotherapy Schedule Optimisation. EvoCOP 2020: 197-213

2010 – 2019

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2019
[c5]
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Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel:
Clarifying the Difference in Local Optima Network Sampling Algorithms. EvoCOP 2019: 163-178
2018
[c4]
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Sarah L. Thomson, Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, Paul McMenemy:
On the Fractal Nature of Local Optima Networks. EvoCOP 2018: 18-33
[c3]
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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]
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Sarah L. Thomson, Fabio Daolio, Gabriela Ochoa:
Comparing communities of optima with funnels in combinatorial fitness landscapes. GECCO 2017: 377-384
[c1]
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Sarah L. Thomson, Gabriela Ochoa, Fabio Daolio, Nadarajen Veerapen:
The effect of landscape funnels in QAPLIB instances. GECCO (Companion) 2017: 1495-1500

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