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 | 108 | 2016 |
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 | 89 | 2017 |
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 | 67 | 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 | 60 | 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 | 29* | 2022 |
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 | 22 | 2019 |
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 | 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 |
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 | 15 | 2018 |
Benchmarking a genetic algorithm with configurable crossover probability F Ye, H Wang, C Doerr, T Bäck Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020 | 12 | 2020 |
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 | 10 | 2022 |
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 | 4 | 2021 |
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics J de Nobel, F Ye, D Vermetten, H Wang, C Doerr, T Bäck arXiv preprint arXiv:2111.04077, 2021 | 3 | 2021 |
Non-elitist selection can improve the performance of irace F Ye, D Vermetten, C Doerr, T Bäck Parallel Problem Solving from Nature–PPSN XVII: 17th International …, 2022 | 1* | 2022 |
Discrete differential evolutionary algorithm for job-shop scheduling problem with minimizing total weighted tardiness F Ye, Z You, D Zhang, SCH Leung 2016 IEEE Congress on Evolutionary Computation (CEC), 56-62, 2016 | 1 | 2016 |
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms F Ye, F Neumann, J de Nobel, A Neumann, T Bäck arXiv preprint arXiv:2303.04611, 2023 | | 2023 |
Using Affine Combinations of BBOB Problems for Performance Assessment D Vermetten, F Ye, C Doerr arXiv preprint arXiv:2303.04573, 2023 | | 2023 |
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler F Neumann, A Neumann, C Qian, VA Do, J de Nobel, D Vermetten, ... arXiv preprint arXiv:2302.01464, 2023 | | 2023 |
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track@ GECCO 2022 H Wang, D Vermetten, F Ye, C Doerr, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | | 2022 |
Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022 F Ye, C Doerr, H Wang, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | | 2022 |