| 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 | 107 | 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 | 85 | 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 | 60 | 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 | 54 | 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 | 24* | 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 | 19 | 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 | 18 | 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 | 16 | 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 | 11 | 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 | 8 | 2022 |
| 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 | 2 | 2021 |
| 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 | 2 | 2021 |
| 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 |
| 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 | | 2022 |
| 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 |
| Benchmarking discrete optimization heuristics: from building a sound experimental environment to algorithm configuration F Ye Leiden University, 2022 | | 2022 |
| Benchmarking and analyzing iterative optimization heuristics with IOHprofiler (GECCO'22 tutorial slides) C Doerr, H Wang, D Vermetten, T Bäck, J de Nobel | | 2022 |
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FranceVerified email at mpi-inf.mpg.de
