Anton Bouter

According to our database, Anton Bouter authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2023

A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA.

Anton Bouter, Peter A. N. Bosman

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

GPU-accelerated parallel gene-pool optimal mixing in a gray-box optimization setting.

Anton Bouter, Peter A. N. Bosman

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

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

Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations.

Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman

Evol. Comput., 2021

Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms.

Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman

CoRR, 2021

GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration.

Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

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

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2018

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

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

Proceedings of the Medical Imaging 2017: Image Processing, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2017