Anton Bouter

Orcid: 0000-0003-4599-0733

According to our database1, Anton Bouter authored at least 19 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis.
CoRR, May, 2026

End-user validation of BRIGHT with custom-developed graphical user interface applied to cervical cancer brachytherapy.
CoRR, February, 2026

2025
The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

Conditional Direct Empirical Linkage Discovery for Solving Multi-Structured Problems.
Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2025

2024
Parameterless Gene-Pool Optimal Mixing Evolutionary Algorithms.
Evol. Comput., 2024

A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration.
CoRR, 2024

2023
A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA.
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.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

GPU-accelerated parallel gene-pool optimal mixing in a gray-box optimization setting.
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.
IEEE Trans. Evol. Comput., 2021

Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations.
Evol. Comput., 2021

GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration.
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.
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.
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.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017


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