| Comparing communities of optima with funnels in combinatorial fitness landscapes SL Thomson, F Daolio, G Ochoa Proceedings of the Genetic and Evolutionary Computation Conference, 377-384, 2017 | 27 | 2017 |
| Inferring future landscapes: sampling the local optima level SL Thomson, G Ochoa, S Verel, N Veerapen Evolutionary computation 28 (4), 621-641, 2020 | 17 | 2020 |
| On the fractal nature of local optima networks SL Thomson, S Verel, G Ochoa, N Veerapen, P McMenemy European Conference on Evolutionary Computation in Combinatorial …, 2018 | 11 | 2018 |
| The effect of landscape funnels in QAPLIB instances SL Thomson, G Ochoa, F Daolio, N Veerapen Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 10 | 2017 |
| From fitness landscapes to explainable AI and back SL Thomson, J Adair, AEI Brownlee, D van den Berg Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 8 | 2023 |
| Clarifying the Difference in Local Optima Network Sampling Algorithms SL Thomson, G Ochoa, S Verel EvoCOP 2019 - The 19th European Conference on Evolutionary Computation in …, 2019 | 8 | 2019 |
| On funnel depths and acceptance criteria in stochastic local search SL Thomson, G Ochoa Proceedings of the Genetic and Evolutionary Computation Conference, 287-295, 2022 | 7 | 2022 |
| Can HP-protein Folding Be Solved with Genetic Algorithms? Maybe not. R Jansen, R Horn, O van Eck, K Verduin, SL Thomson, D van den Berg IJCCI, 131-140, 2023 | 6 | 2023 |
| Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem. K Verduin, SL Thomson, D van den Berg IJCCI, 246-257, 2023 | 6 | 2023 |
| The fractal geometry of fitness landscapes at the local optima level SL Thomson, G Ochoa, S Verel Natural Computing 21 (2), 317-333, 2022 | 5 | 2022 |
| Channel Configuration for Neural Architecture: Insights from the Search Space SL Thomson, G Ochoa, N Veerapen, K Michalak Proceedings of the Genetic and Evolutionary Computation Conference, 1267-1275, 2023 | 4 | 2023 |
| Universally hard hamiltonian cycle problem instances J Sleegers, SL Thomson, D van Den Berg | 4 | 2022 |
| Multifractality and Dimensional Determinism in Local Optima Networks S Thomson, S Verel, G Ochoa, N Veerapen, D Cairns 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), 2018 | 4 | 2018 |
| ROTEM thromboelastometry identifies blood product requirements during major obstetric haemorrhage. S Bolton, M Harkness, S Thomson | 4 | 2011 |
| Randomness in local optima network sampling SL Thomson, N Veerapen, G Ochoa, D van den Berg Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 3 | 2023 |
| The Local Optima Level in Chemotherapy Schedule Optimisation SL Thomson, G Ochoa European Conference on Evolutionary Computation in Combinatorial …, 2020 | 3 | 2020 |
| Understanding fitness landscapes in morpho-evolution via local optima networks SL Thomson, L Le Goff, E Hart, E Buchanan Proceedings of the Genetic and Evolutionary Computation Conference, 114-123, 2024 | 2 | 2024 |
| Frequency Fitness Assignment for Untangling Proteins in 2D J Koutstaal, J Kommandeur, R Timmer, R Horn, SL Thomson, ... | 2 | 2024 |
| Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances S Verel, SL Thomson, O Rifki European Conference on Evolutionary Computation in Combinatorial …, 2024 | 2 | 2024 |
| Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms T Liang, Z Wu, J Lässig, D van den Berg, SL Thomson, T Weise Soft Computing, 2024 | 2 | 2024 |
