A hybrid algorithm for a vehicle routing problem with realistic constraints D Zhang, S Cai, F Ye, YW Si, TT Nguyen Information Sciences 394, 167-182, 2017 | 123 | 2017 |
A novel forecasting method based on multi-order fuzzy time series and technical analysis F Ye, L Zhang, D Zhang, H Fujita, Z Gong Information Sciences 367, 41-57, 2016 | 123 | 2016 |
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics C Doerr, H Wang, F Ye, S van Rijn, T Bäck arXiv preprint arXiv:1810.05281, 2018 | 112 | 2018 |
Benchmarking discrete optimization heuristics with IOHprofiler C Doerr, F Ye, N Horesh, H Wang, OM Shir, T Bäck Applied Soft Computing 18, 106027, 2020 | 81 | 2020 |
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics H Wang, D Vermetten, F Ye, C Doerr, T Bäck ACM Transactions on Evolutionary Learning and Optimization 2 (1), 1-29, 2022 | 73 | 2022 |
Iohexperimenter: Benchmarking platform for iterative optimization heuristics J de Nobel, F Ye, D Vermetten, H Wang, C Doerr, T Bäck Evolutionary Computation, 1-6, 2024 | 44* | 2024 |
Evolutionary algorithms for parameter optimization—thirty years later THW Bäck, AV Kononova, B van Stein, H Wang, KA Antonov, ... Evolutionary Computation 31 (2), 81-122, 2023 | 30 | 2023 |
Interpolating local and global search by controlling the variance of standard bit mutation F Ye, C Doerr, T Bäck 2019 IEEE Congress on Evolutionary Computation (CEC), 2292-2299, 2019 | 27 | 2019 |
Automated configuration of genetic algorithms by tuning for anytime performance F Ye, C Doerr, H Wang, T Bäck IEEE Transactions on Evolutionary Computation 26 (6), 1526-1538, 2022 | 21 | 2022 |
Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1+ λ) EA variants on onemax and leadingones C Doerr, F Ye, S van Rijn, H Wang, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference, 951-958, 2018 | 20 | 2018 |
A hybrid swarm algorithm based on ABC and AIS for 2L-HFCVRP D Zhang, R Dong, YW Si, F Ye, Q Cai Applied Soft Computing 64, 468-479, 2018 | 19 | 2018 |
A hybrid algorithm based on variable neighbourhood for the strip packing problem D Zhang, Y Che, F Ye, YW Si, SCH Leung Journal of Combinatorial Optimization 32, 513-530, 2016 | 17 | 2016 |
Benchmarking a genetic algorithm with configurable crossover probability F Ye, H Wang, C Doerr, T Bäck International Conference on Parallel Problem Solving from Nature, 699-713, 2020 | 15 | 2020 |
Using affine combinations of bbob problems for performance assessment D Vermetten, F Ye, C Doerr Proceedings of the Genetic and Evolutionary Computation Conference, 873-881, 2023 | 13 | 2023 |
MA-BBOB: Many-affine combinations of BBOB functions for evaluating automl approaches in noiseless numerical black-box optimization contexts D Vermetten, F Ye, T Bäck, C Doerr International Conference on Automated Machine Learning, 7/1-14, 2023 | 10 | 2023 |
IOHprofiler: a benchmarking and profiling tool for iterative optimization heuristics. arXiv e-prints: 1810.05281 (2018) C Doerr, H Wang, F Ye, S van Rijn, T Bäck arXiv preprint arXiv:1810.05281, 2018 | 9 | 2018 |
Leveraging benchmarking data for informed one-shot dynamic algorithm selection F Ye, C Doerr, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 8 | 2021 |
Ma-bbob: A problem generator for black-box optimization using affine combinations and shifts D Vermetten, F Ye, T Bäck, C Doerr ACM Transactions on Evolutionary Learning and Optimization, 2024 | 7 | 2024 |
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler F Neumann, A Neumann, C Qian, AV Do, J de Nobel, D Vermetten, ... 2023 IEEE Congress on Evolutionary Computation (CEC), 1-9, 2023 | 5 | 2023 |
Reproducibility files and additional figures D Vermetten, F Ye, C Doerr Code repository: https://github. com/Dvermetten/Many-affine-BBOB Data and …, 2023 | 4 | 2023 |