Furong Ye
Onderzoeker
- Naam
- Dr. F. Ye
- Telefoon
- +31 71 527 2727
- f.ye@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-8707-4189
Furong Ye werkt als promovendus in de Natural Computing onderzoeksgroep, waar hij onderzoek doet naar automatische programmering en configuratie van optimalisatiealgoritmen. Het doel is om de parameterinstelling van algoritmen automatisch te optimaliseren en variatieoperatoren te configureren.
Onderzoeker
- Wiskunde en Natuurwetenschappen
- Leiden Inst of Advanced Computer Science
- Vermetten D.L., Ye F., Bäck T.H.W. & Doerr C. (2025), MA-BBOB: a problem generator for black-box optimization using affine combinations and shifts, ACM Transactions on Evolutionary Learning and Optimization 5(1): 5.
- Ye F., Luo C. & Cai S. (2025), Better understandings and configurations in MaxSAT stochastic local search solvers via anytime performance analysis, Proceedings of the AAAI Conference on Artificial Intelligence 39(25): 27153-27160.
- Nobel J.P. de, Ye F., Vermetten D.L., Wang H., Doerr C. & Bäck T.H.W. (2024), IOHexperimenter: benchmarking platform for Iterative Optimization Heuristics, Evolutionary Computation 32(3): 205-210.
- Ye F., Neumann F., Nobel J.P. de, Neumann A. & Bäck T.H.W. (2024), What performance indicators to use for self-adaptation in multi-objective evolutionary algorithms, GECCO '24: proceedings of the genetic and evolutionary computation conference companion. GECCO '24: Genetic and Evolutionary Computation Conference 14 juli 2024 - 18 juli 2024. New York: Association for computing machinery. 787-795.
- Kalkreuth R.T., Vasicek Z., Husa J., Vermetten D.L., Ye F. & Bäck T.H.W. (2023), General Boolean function benchmark suite, FOGA '23: proceedings of the 17th ACM/SIGEVO conference on foundations of genetic algorithms. FOGA '23: Foundations of Genetic Algorithms XVII 30 augustus 2023 - 1 september 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 84-95.
- Kalkreuth R.T., Vašíček Z., Husa J., Vermetten D.L., Ye F. & Bäck T.H.W. (2023), Towards a general boolean function benchmark suite, GECCO '23: proceedings of the Genetic and Evolutionary Computation Conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 juli 2023 - 19 juli 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 591-594.
- Vermetten D.L., Ye F. & Doerr C. (2023), Using affine combinations of BBOB problems for performance assessment, GECCO '23: Proceedings of the genetic and evolutionary computation conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 juli 2023 - 19 juli 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 873–881.
- Thomaser A., Nobel J.P. de, Vermetten D.L., Ye F., Bäck T.H.W. & Kononova A.V. (2023), When to be discrete: analyzing algorithm performance on discretized continuous problems, GECCO '23: Proceedings of the genetic and evolutionary computation conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 juli 2023 - 19 juli 2023. New York: Association for Computer Machinery. 856-863.
- Back T.H.W., Kononova A.V., Stein N. van, Wang H., Antonov K., Kalkreuth R.T., Nobel J.P. de, Vermetten D., Winter R. de & Ye F. (2023), Evolutionary algorithms for parameter optimization: thirty years later, Evolutionary Computation 31(2): 81-122.
- Neumann F., Neumann A, Qian C., Viet Do A., Nobel J.P. de, Vermetten D.L., Ahouei S.S., Ye F., Wang H. & Bäck T.W.H. (2023), Benchmarking algorithms for submodular optimization problems using IOHProfiler, 2023 IEEE Congress on Evolutionary Computation (CEC). 2023 IEEE Congress on Evolutionary Computation (CEC) 1 juli 2023 - 5 juli 2023: Institute of Electrical and Electronics Engineers (IEEE). 972-981.
- Ye F. (1 juni 2022), Benchmarking discrete optimization heuristics : from building a sound experimental environment to algorithm configuration (Dissertatie. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University). Promotor(en) en copromotor(en): Bäck T.H.W., Doerr C. & Wang H.
- Wang H., Vermetten D., Ye F., Doerr C. & Bäck T.H.W (2022), IOHanalyzer: detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. Fieldsend J.E. (red.), GECCO '22: proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 juli 2022 - 13 juli 2022. New York, NY, United States: Association for Computing Machinery . 49-50.
- Ye F., Doerr C., Wang H. & Bäck T.H.W. (2022), Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022. Fieldsend J.E. (red.), GECCO '22: proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 juli 2022 - 13 juli 2022. New York, NY, United States: Association for Computing Machinery . 51-52.
- Wang H., Vermetten D., Ye F., Doerr C. & Bäck T.H.W. (2022), IOHanalyzer: detailed performance analyses for iterative optimization heuristics, ACM Transactions on Evolutionary Learning and Optimization 2(1): 3.
- Ye F., Doerr C., Wang H. & Bäck T.H.W. (2022), Automated configuration of genetic algorithms by tuning for anytime performance, IEEE Transactions on Evolutionary Computation 26(6): 1526-1538.
- Ye F., Vermetten D., Doerr C. & Bäck T.H.W. (2022), Non-elitist selection can improve the performance of irace. Rudolph G., Kononova A.V., Aguirre H., Kerschke P., Ochoa G. & Tušar T. (red.), Parallel problem solving from nature: PPSN XVII. 17th International Conference on Parallel Problem Solving from Nature 10 september 2022 - 14 september 2022 nr. 13398. Cham: Springer. 32-45.
- Ye F., Doerr C. & Bäck T.H.W. (2021), Leveraging benchmarking data for informed one-shot dynamic algorithm selection. Chicano F. (red.), GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '21: Genetic and Evolutionary Computation Conference 10 juli 2021 - 14 juli 2021: ACM. 245-246.
- Doerr C., Ye F., Horesh N., Wang H., Shir O.M. & Bäck T.H.W. (2020), Benchmarking discrete optimization heuristics with IOHprofiler, Applied Soft Computing 88: 106027.
- Ye F., Wang H., Doerr C. & Bäck T.H.W. (2020), Benchmarking a (μ+λ) genetic algorithm with configurable crossover probability. Bäck T.H.W., Preuss M., Deutz A., Wang H., Doerr C., Emmerich M.T.M. & Trautman H. (red.), Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020. PPSN 2020 (16th International Conference on Parallel Problem Solving from Nature) 5 september 2020 - 9 september 2020 nr. 12270. Cham: Springer. 699-713.
- Doerr C., Ye F., Horesh N., Wang H., Shir O.M. & Bäck T.H.W. (2019), Benchmarking Discrete Optimization Heuristics with IOHprofiler, Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 juli 2019 - 17 juli 2019: ACM. 1798--1806.
- Ye F., Doerr C. & Bäck T.H.W. (2019), Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation, 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation (CEC) 2019 10 juni 2019 - 13 juni 2019: IEEE. 2292-2299.
- Doerr C., Ye F., Rijn S.J. van, Wang H. & Bäck T.H.W. (2018), Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling (1+λ) EA Variants on OneMax and LeadingOnes. Aguirre H. (red.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '18). GECCO 2018 15 juli 2018 - 19 juli 2018. Kyoto, Japan: ACM. 951-958.
- Doerr C., Wang H., Ye F., Rijn S.J. van & Bäck T.H.W. (2018), IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics.