| A lifelong learning hyper-heuristic method for bin packing K Sim, E Hart, B Paechter Evolutionary computation 23 (1), 37-67, 2015 | 98 | 2015 |
| A hyper-heuristic ensemble method for static job-shop scheduling E Hart, K Sim Evolutionary computation 24 (4), 609-635, 2016 | 90 | 2016 |
| Use of machine learning techniques to model wind damage to forests E Hart, K Sim, K Kamimura, C Meredieu, D Guyon, B Gardiner Agricultural and forest meteorology 265, 16-29, 2019 | 61 | 2019 |
| A research agenda for metaheuristic standardization J Swan, S Adriaensen, M Bishr, EK Burke, JA Clark, P De Causmaecker, ... Proceedings of the XI metaheuristics international conference, 1-3, 2015 | 55 | 2015 |
| A hyper-heuristic classifier for one dimensional bin packing problems: Improving classification accuracy by attribute evolution K Sim, E Hart, B Paechter Parallel Problem Solving from Nature-PPSN XII: 12th International Conference …, 2012 | 40 | 2012 |
| Algorithm selection using deep learning without feature extraction M Alissa, K Sim, E Hart Proceedings of the Genetic and Evolutionary Computation Conference, 198-206, 2019 | 38 | 2019 |
| Generating single and multiple cooperative heuristics for the one dimensional bin packing problem using a single node genetic programming island model K Sim, E Hart Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 38 | 2013 |
| A combined generative and selective hyper-heuristic for the vehicle routing problem K Sim, E Hart Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016 | 33 | 2016 |
| An improved immune inspired hyper-heuristic for combinatorial optimisation problems K Sim, E Hart Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014 | 31 | 2014 |
| A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector E Hart, K Sim, B Gardiner, K Kamimura Proceedings of the Genetic and Evolutionary Computation Conference, 1121-1128, 2017 | 26 | 2017 |
| On constructing ensembles for combinatorial optimisation E Hart, K Sim Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 19 | 2017 |
| Automated algorithm selection: from feature-based to feature-free approaches M Alissa, K Sim, E Hart Journal of Heuristics 29 (1), 1-38, 2023 | 17 | 2023 |
| Building a stage 1 computer aided detector for breast cancer using genetic programming C Ryan, K Krawiec, UM O’Reilly, J Fitzgerald, D Medernach Genetic Programming: 17th European Conference, EuroGP 2014, Granada, Spain …, 2014 | 17 | 2014 |
| On the life-long learning capabilities of a nelli*: A hyper-heuristic optimisation system E Hart, K Sim Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014 | 17 | 2014 |
| Learning to solve bin packing problems with an immune inspired hyper-heuristic. K Sim, E Hart, B Paechter | 16 | 2013 |
| Ksats-hh: A simulated annealing hyper-heuristic with reinforcement learning and tabu-search K Sim Entry in the Cross-domain Heuristic Search Challenge available from http …, 2011 | 11 | 2011 |
| A real-world employee scheduling and routing application E Hart, K Sim, N Urquhart Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014 | 8 | 2014 |
| To switch or not to switch: predicting the benefit of switching between algorithms based on trajectory features D Vermetten, H Wang, K Sim, E Hart International Conference on the Applications of Evolutionary Computation …, 2023 | 6 | 2023 |
| A deep learning approach to predicting solutions in streaming optimisation domains M Alissa, K Sim, E Hart Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 157-165, 2020 | 6 | 2020 |
| Developing a primary care-initiated hepatitis C treatment pathway in Scotland: a qualitative study D Whiteley, EM Speakman, L Elliott, H Jarvis, K Davidson, M Quinn, ... British Journal of General Practice 72 (722), e668-e676, 2022 | 5 | 2022 |
