Bosman, Peter A. N.

1. Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization
   2021/02/08 by Timo M. Deist, Monika Grewal, Deist, Timo M. +7 · 3 citations
   Computer Science · Decision Sciences · Engineering · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning and Data Classification #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design
2. Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms
   2021/09/11 by Arkadiy Dushatskiy, Marco Virgolin, Dushatskiy, Arkadiy +7 · 2 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)
3. Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression
   2022/04/26 by Virgolin, Marco, Bosman, Peter A. N. · 1 citation
   #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
4. Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression
   2022/02/14 by Dazhuang Liu, Liu, Dazhuang, Marco Virgolin +5 · 1 citation
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)
5. Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation
   2024/04/09 by Alexander Chebykin, Peter A. N. Bosman, Chebykin, Alexander +3 · 2 citations
   Computer Science · #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Medical Image Segmentation Techniques
6. Multi-Objective Population Based Training
   2023/06/02 by Dushatskiy, Arkadiy, Chebykin, Alexander, Alderliesten, Tanja +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
7. GPU-Accelerated Parallel Gene-pool Optimal Mixing in a Gray-Box Optimization Setting
   2022/03/16 by Bouter, Anton, Bosman, Peter A. N. · 1 citation
   #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
8. Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA
   2022/03/11 by Arthur Guijt, Dirk Thierens, Guijt, Arthur +5 · 1 citation
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)