| 2025 | FOGA | Conditional Direct Empirical Linkage Discovery for Solving Multi-Structured Problems. | Michal Witold Przewozniczek, Peter A. N. Bosman, Anton Bouter, Arthur Guijt, Marcin M. Komarnicki, Dirk Thierens |
| 2025 | GECCO | The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing. | Anton Bouter, Dirk Thierens, Peter A. N. Bosman |
| 2023 | GECCO | A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA. | Anton Bouter, Peter A. N. Bosman |
| 2022 | GECCO | GPU-accelerated parallel gene-pool optimal mixing in a gray-box optimization setting. | Anton Bouter, Peter A. N. Bosman |
| 2022 | PPSN | Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization. | Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman |
| 2021 | CEC | GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration. | Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman |
| 2020 | GECCO | Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm. | Anton Bouter, Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman |
| 2018 | GECCO | Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems. | Anton Bouter, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter A. N. Bosman |
| 2017 | GECCO | Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm. | Anton Bouter, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman |
| 2017 | GECCO | The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm. | Anton Bouter, Ngoc Hoang Luong, Cees Witteveen, Tanja Alderliesten, Peter A. N. Bosman |
| 2017 | GECCO | Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection. | Anton Bouter, Kleopatra Pirpinia, Tanja Alderliesten, Peter A. N. Bosman |
| 2017 | GECCO | Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. | Ngoc Hoang Luong, Anton Bouter, Marjolein C. van der Meer, Yury Niatsetski, Cees Witteveen, Arjan Bel, Tanja Alderliesten, Peter A. N. Bosman |