Staff directory

WANG Hao

Postdoc
Team : RO
https://lip6.fr/Hao.Wang

Departure date : 08/31/2020

2018-2024 Publications

2024
- D. Vermetten, C. Doerr, H. Wang, A. Kononova, Th. Bäck : “Large-scale Benchmarking of Metaphor-based Optimization Heuristics”, GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference, Melbourne, Australia (2024)
- J. De Nobel, F. Ye, D. Vermetten, H. Wang, C. Doerr, Th. Bäck : “IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics”, Evolutionary Computation, pp. 1-6, (Massachusetts Institute of Technology Press (MIT Press)) (2024)
2023
- C. Doerr, H. Wang, D. Vermetten, Th. Bäck, J. De Nobel, F. Ye : “Benchmarking and analyzing iterative optimization heuristics with IOHprofiler”, GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation, Lisbon, Portugal, pp. 938-945, (ACM) (2023)
2022
- H. Wang, D. Vermetten, F. Ye, C. Doerr, Th. Bäck : “IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics”, ACM Transactions on Evolutionary Learning and Optimization, vol. 2 (1), pp. 3:1-3:29, (ACM) (2022)
- F. Ye, C. Doerr, H. Wang, Th. Bäck : “Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance”, IEEE Transactions on Evolutionary Computation, vol. 26 (6), pp. 1526-1538, (Institute of Electrical and Electronics Engineers) (2022)
- K. Antonov, E. Raponi, H. Wang, C. Doerr : “High Dimensional Bayesian Optimization with Kernel Principal Component Analysis”, 17^th Proceedings of Parallel Problem Solving from Nature - (PPSN) 2022, Dortmund, Germany, pp. 118-131 (2022)
- D. Vermetten, H. Wang, M. López‑Ibañez, C. Doerr, Th. Bäck : “Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms”, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference, Boston, United States (2022)
- A. Kostovska, A. Janković, D. Vermetten, J. De Nobel, H. Wang, T. Eftimov, C. Doerr : “Per-run Algorithm Selection with Warm-starting using Trajectory-based Features”, 17^th Proceedings of Parallel Problem Solving from Nature - (PPSN) 2022, Dortmund, Germany, pp. 46-60 (2022)
- C. Doerr, H. Wang, D. Vermetten, Th. Bäck, J. De Nobel, F. Ye : “Benchmarking and analyzing iterative optimization heuristics with IOHprofiler (GECCO’22 tutorial slides)”, (2022)
2021
- J. De Nobel, D. Vermetten, H. Wang, C. Doerr, Th. Bäck : “Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules”, Genetic and Evolutionary Computation Conference (GECCO 2021, Companion Material, Workshop), Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2021, Companion Material, Workshop Paper), Lille (en ligne), France (2021)
2020
- F. Ye, H. Wang, C. Doerr, Th. Bäck : “Benchmarking a $$(\mu +\lambda )$$ Genetic Algorithm with Configurable Crossover Probability”, Parallel Problem Solving from Nature – PPSN XVI (PPSN 2020), vol. 12270, Lecture Notes in Computer Science, Leiden, Netherlands, pp. 699-713, (Springer) (2020)
- E. Raponi, H. Wang, M. Bujny, S. Boria, C. Doerr : “High Dimensional Bayesian Optimization Assisted by Principal Component Analysis”, Parallel Problem Solving from Nature – PPSN XVI, vol. 12269, Lecture Notes in Computer Science, Leiden, Netherlands, pp. 169-183, (Springer) (2020)
- D. Vermetten, H. Wang, Th. Bäck, C. Doerr : “Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case”, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'20), Cancun, Mexico (2020)
- H. Wang, C. Doerr, O. Shir, Th. Bäck : “Benchmarking and analyzing iterative optimization heuristics with IOHprofiler (GECCO’20 tutorial)”, Proc. of Genetic and Evolutionary Computation Conference (GECCO'20, Companion material), Cancún, Mexico, pp. 1043-1054, (ACM) (2020)
- C. Doerr, F. Ye, N. Horesh, H. Wang, O. Shir, Th. Bäck : “Benchmarking discrete optimization heuristics with IOHprofiler”, Applied Soft Computing, vol. 88, pp. 106027, (Elsevier) (2020)
- Th. Bäck, M. Preuss, A. Deutz, H. Wang, C. Doerr, M. Emmerich, H. Trautmann : “Parallel Problem Solving from Nature - PPSN XVI - 16^th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I”, PPSN XVI - 16^th International Conference on Parallel Problem Solving from Nature, vol. 12269, Lecture Notes in Computer Science, Leiden, Netherlands, (Springer) (2020)
- Th. Bäck, M. Preuss, A. Deutz, H. Wang, C. Doerr, M. Emmerich, H. Trautmann : “Parallel Problem Solving from Nature - PPSN XVI - 16^th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II”, PPSN XVI - 16^th International Conference on Parallel Problem Solving from Nature, vol. 12270, Lecture Notes in Computer Science, Leiden, Netherlands, (Springer) (2020)
- D. Vermetten, H. Wang, C. Doerr, Th. Bäck : “Integrated vs. Sequential Approaches for Selecting and Tuning CMA-ES Variants”, ACM Genetic and Evolutionary Computation Conference (GECCO'20), Proc. of ACM Genetic and Evolutionary Computation Conference (GECCO'20), Cancun, Mexico (2020)
2019
- C. Doerr, F. Ye, N. Horesh, H. Wang, O. Shir, Th. Bäck : “Benchmarking discrete optimization heuristics with IOHprofiler”, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Prague, Czechia, pp. 1798-1806, (ACM Press) (2019)
- B. Calvo, O. Shir, J. Ceberio, C. Doerr, H. Wang, Th. Bäck, J. Lozano : “Bayesian performance analysis for black-box optimization benchmarking”, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Prague, Czechia, pp. 1789-1797, (ACM Press) (2019)
2018
- C. Doerr, F. Ye, S. Van Rijn, H. Wang, Th. Bäck : “Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics”, GECCO '18 - Genetic and Evolutionary Computation Conference, Kyoto, France, pp. 951-958, (ACM Press) (2018)