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 (GECCO, 2017)

The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm. - Anton Bouter; Ngoc Hoang Luong; Cees Witteveen; Tanja Alderliesten; Peter A. N. Bosman (GECCO, 2017)

Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection. - Anton Bouter; Kleopatra Pirpinia; Tanja Alderliesten; Peter A. N. Bosman (GECCO (Companion), 2017)

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 (GECCO (Companion), 2017)

A novel model-based evolutionary algorithm for multi-objective deformable image registration with content mismatch and large deformations: benchmarking efficiency and quality. - Anton Bouter; Tanja Alderliesten; Peter A. N. Bosman (Image Processing, 2017)

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 (GECCO, 2018)

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 (GECCO, 2020)

GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration. - Anton Bouter; Tanja Alderliesten; Peter A. N. Bosman (CEC, 2021)

Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations. - Anton Bouter; Tanja Alderliesten; Peter A. N. Bosman (Evol. Comput., 2021)

Fitness-Based Linkage Learning in the Real-Valued Gene-Pool Optimal Mixing Evolutionary Algorithm. - Chantal Olieman; Anton Bouter; Peter A. N. Bosman (IEEE Trans. Evol. Comput., 2021)

GPU-accelerated parallel gene-pool optimal mixing in a gray-box optimization setting. - Anton Bouter; Peter A. N. Bosman (GECCO, 2022)

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 (PPSN (2), 2022)

A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA. - Anton Bouter; Peter A. N. Bosman (GECCO Companion, 2023)

A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration. - Georgios Andreadis; Joas I. Mulder; Anton Bouter; Peter A. N. Bosman; Tanja Alderliesten (CoRR, 2024)

Parameterless Gene-Pool Optimal Mixing Evolutionary Algorithms. - Arkadiy Dushatskiy; Marco Virgolin; Anton Bouter; Dirk Thierens; Peter A. N. Bosman (Evol. Comput., 2024)

The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing. - Anton Bouter; Dirk Thierens; Peter A. N. Bosman (CoRR, 2025)