Peter A. N. Bosman

243 papers A* 1A 66B 19C 4Misc 1Journal 89Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	End-user validation of BRIGHT with custom-developed graphical user interface applied to cervical cancer brachytherapy. CoRR Leah R. M. Dickhoff, Ellen M. Kerkhof, Heloisa H. Deuzeman, Laura A. Velema, Stephanie M. de Boer, Lavinia A. L. Verhagen, Danique L. J. Barten, Bradley R. Pieters, Lukas J. A. Stalpers, Renzo J. Scholman, Pedro M. Matos, Anton Bouter, Carien L. Creutzberg, Peter A. N. Bosman, Tanja Alderliesten
2026	J	`jnl`	Introns and Templates Matter: Rethinking Linkage in GP-GOMEA. CoRR Johannes Koch, Tanja Alderliesten, Peter A. N. Bosman
2025	—	`conf`	A Better Multi-Objective GP-GOMEA - But do we Need it? GECCO Companion Joe Harrison, Tanja Alderliesten, Peter A. N. Bosman
2025	J	`jnl`	A Better Multi-Objective GP-GOMEA - But do we Need it? CoRR Joe Harrison, Tanja Alderliesten, Peter A. N. Bosman
2025	—	`conf`	A Step towards Interpretable Multimodal AI Models with MultiFIX. GECCO Companion Mafalda Malafaia, Thalea Schlender, Tanja Alderliesten, Peter A. N. Bosman
2025	J	`jnl`	A Step towards Interpretable Multimodal AI Models with MultiFIX. CoRR Mafalda Malafaia, Thalea Schlender, Tanja Alderliesten, Peter A. N. Bosman
2025	J	`jnl`	Automated and Interpretable Survival Analysis from Multimodal Data. CoRR Mafalda Malafaia, Peter A. N. Bosman, Coen Rasch, Tanja Alderliesten
2025	A	`conf`	Conditional Direct Empirical Linkage Discovery for Solving Multi-Structured Problems. FOGA Michal Witold Przewozniczek, Peter A. N. Bosman, Anton Bouter, Arthur Guijt, Marcin M. Komarnicki, Dirk Thierens
2025	J	`jnl`	Dealing with Segmentation Errors in Needle Reconstruction for MRI-Guided Brachytherapy. CoRR Vangelis Kostoulas, Arthur Guijt, Ellen M. Kerkhof, Bradley R. Pieters, Peter A. N. Bosman, Tanja Alderliesten
2025	J	`jnl`	Iterated Population Based Training with Task-Agnostic Restarts. CoRR Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2025	—	`conf`	Model-Based Evolutionary Algorithms. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2025	A	`conf`	More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA. GECCO Renzo J. Scholman, Tanja Alderliesten, Peter A. N. Bosman
2025	J	`jnl`	More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA. CoRR Renzo J. Scholman, Tanja Alderliesten, Peter A. N. Bosman
2025	J	`jnl`	Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA. CoRR Georgios Andreadis, Eduard Ruiz Munné, Thomas H. W. Bäck, Peter A. N. Bosman, Tanja Alderliesten
2025	J	`jnl`	PISA: An AI Pipeline for Interpretable-by-design Survival Analysis Providing Multiple Complexity-Accuracy Trade-off Models. CoRR Thalea Schlender, Catharina J. A. Romme, Yvette van der Linden, Luc R. C. W. van Lonkhuijzen, Peter A. N. Bosman, Tanja Alderliesten
2025	J	`jnl`	Sharing Knowledge without Sharing Data: Stitches can improve ensembles of disjointly trained models. CoRR Arthur Guijt, Dirk Thierens, Ellen M. Kerkhof, Jan Wiersma, Tanja Alderliesten, Peter A. N. Bosman
2025	—	`conf`	The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing. GECCO Companion Anton Bouter, Dirk Thierens, Peter A. N. Bosman
2025	J	`jnl`	The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing. CoRR Anton Bouter, Dirk Thierens, Peter A. N. Bosman
2025	J	`jnl`	Thinking Outside the Template with Modular GP-GOMEA. CoRR Joe Harrison, Peter A. N. Bosman, Tanja Alderliesten
2025	J	`jnl`	To Be Greedy, or Not to Be - That Is the Question for Population Based Training Variants. Trans. Mach. Learn. Res. Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2024	J	`jnl`	A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration. CoRR Georgios Andreadis, Joas I. Mulder, Anton Bouter, Peter A. N. Bosman, Tanja Alderliesten
2024	—	`conf`	Balancing Between Time Budgets and Costs in Surrogate-Assisted Evolutionary Algorithms. PPSN (2) Cedric J. Rodriguez, Peter A. N. Bosman, Tanja Alderliesten
2024	J	`jnl`	Deep learning-based auto-segmentation of paraganglioma for growth monitoring. CoRR E. M. C. Sijben, Jeroen C. Jansen, M. de Ridder, Peter A. N. Bosman, Tanja Alderliesten
2024	—	`conf`	Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching. GECCO Companion Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2024	A	`conf`	Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA. GECCO Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman
2024	J	`jnl`	Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA. CoRR Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman
2024	A	`conf`	Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals. GECCO Evi Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
2024	J	`jnl`	Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals. CoRR E. M. C. Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
2024	—	`conf`	Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation. MIDL Alexander Chebykin, Peter A. N. Bosman, Tanja Alderliesten
2024	J	`jnl`	Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation. CoRR Alexander Chebykin, Peter A. N. Bosman, Tanja Alderliesten
2024	A	`conf`	Improving the efficiency of GP-GOMEA for higher-arity operators. GECCO Thalea Schlender, Mafalda Malafaia, Tanja Alderliesten, Peter A. N. Bosman
2024	J	`jnl`	Improving the efficiency of GP-GOMEA for higher-arity operators. CoRR Thalea Schlender, Mafalda Malafaia, Tanja Alderliesten, Peter A. N. Bosman
2024	—	`conf`	Learning Discretized Bayesian Networks with GOMEA. PPSN (3) Damy M. F. Ha, Tanja Alderliesten, Peter A. N. Bosman
2024	J	`jnl`	Learning Discretized Bayesian Networks with GOMEA. CoRR Damy M. F. Ha, Tanja Alderliesten, Peter A. N. Bosman
2024	—	`conf`	Model-Based Evolutionary Algorithms. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2024	—	`conf`	Multi-Objective Learning for Deformable Image Registration. MIDL Monika Grewal, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2024	J	`jnl`	Multi-Objective Learning for Deformable Image Registration. CoRR Monika Grewal, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2024	J	`jnl`	MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data. CoRR Mafalda Malafaia, Thalea Schlender, Peter A. N. Bosman, Tanja Alderliesten
2024	J	`jnl`	Parameterless Gene-Pool Optimal Mixing Evolutionary Algorithms. Evol. Comput. Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman
2024	—	`conf`	Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression. PPSN (1) Johannes Koch, Tanja Alderliesten, Peter A. N. Bosman
2024	J	`jnl`	Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them. CoRR Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2024	A	`conf`	Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation. GECCO Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman
2024	J	`jnl`	Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation. CoRR Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman
2023	—	`conf`	A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA. GECCO Companion Anton Bouter, Peter A. N. Bosman
2023	J	`jnl`	A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA. CoRR Anton Bouter, Peter A. N. Bosman
2023	—	`conf`	Bi-objective optimization of organ properties for the simulation of intracavitary brachytherapy applicator placement in cervical cancer. Image-Guided Procedures Cedric J. Rodriguez, Stephanie M. de Boer, Peter A. N. Bosman, Tanja Alderliesten
2023	J	`jnl`	Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251). Dagstuhl Reports Anne Auger, Peter A. N. Bosman, Pascal Kerschke, Darrell Whitley, Lennart Schäpermeier
2023	J	`jnl`	Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations. CoRR Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2023	J	`jnl`	Convolutions, Transformers, and their Ensembles for the Segmentation of Organs at Risk in Radiation Treatment of Cervical Cancer. CoRR Vangelis Kostoulas, Peter A. N. Bosman, Tanja Alderliesten
2023	B	`conf`	Convolutions, transformers, and their ensembles for the segmentation of organs at risk in radiation treatment of cervical cancer. Image Processing Vangelis Kostoulas, Peter A. N. Bosman, Tanja Alderliesten
2023	—	`conf`	Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations. MIDL Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2023	A	`conf`	MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images. GECCO Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
2023	J	`jnl`	MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images. CoRR Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
2023	A	`conf`	Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression? GECCO Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2023	—	`conf`	Model-Based Evolutionary Algorithms. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2023	A*	`conf`	Multi-Objective Population Based Training. ICML Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2023	J	`jnl`	Multi-Objective Population Based Training. CoRR Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2023	C	`conf`	Multi-objective Learning Using HV Maximization. EMO Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
2023	A	`conf`	Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search. ECAI Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2023	J	`jnl`	Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search. CoRR Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2023	A	`conf`	The Impact of Asynchrony on Parallel Model-Based EAs. GECCO Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2023	J	`jnl`	The Impact of Asynchrony on Parallel Model-Based EAs. CoRR Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	Adaptive Objective Configuration in Bi-Objective Evolutionary Optimization for Cervical Cancer Brachytherapy Treatment Planning. CoRR Leah R. M. Dickhoff, Ellen M. Kerkhof, Heloisa H. Deuzeman, Carien L. Creutzberg, Tanja Alderliesten, Peter A. N. Bosman
2022	A	`conf`	Adaptive objective configuration in bi-objective evolutionary optimization for cervical cancer brachytherapy treatment planning. GECCO Leah R. M. Dickhoff, Ellen M. Kerkhof, Heloisa H. Deuzeman, Carien L. Creutzberg, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning. CoRR Marco Virgolin, Andrea De Lorenzo, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression. CoRR Marco Virgolin, Peter A. N. Bosman
2022	—	`conf`	Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression. GECCO Companion Marco Virgolin, Peter A. N. Bosman
2022	B	`conf`	Data variation-aware medical image segmentation. Image Processing Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten
2022	J	`jnl`	Data variation-aware medical image segmentation. CoRR Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten
2022	J	`jnl`	Evolutionary Neural Cascade Search across Supernetworks. CoRR Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2022	A	`conf`	Evolutionary neural cascade search across supernetworks. GECCO Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression. CoRR Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2022	A	`conf`	Evolvability degeneration in multi-objective genetic programming for symbolic regression. GECCO Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	GPU-Accelerated Parallel Gene-pool Optimal Mixing in a Gray-Box Optimization Setting. CoRR Anton Bouter, Peter A. N. Bosman
2022	A	`conf`	GPU-accelerated parallel gene-pool optimal mixing in a gray-box optimization setting. GECCO Anton Bouter, Peter A. N. Bosman
2022	—	`conf`	Gene-pool Optimal Mixing in Cartesian Genetic Programming. PPSN (2) Joe Harrison, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	Heed the Noise in Performance Evaluations in Neural Architecture Search. CoRR Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2022	—	`conf`	Heed the noise in performance evaluations in neural architecture search. GECCO Companion Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2022	—	`conf`	Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation. PPSN (2) Damy M. F. Ha, Timo M. Deist, Peter A. N. Bosman
2022	J	`jnl`	Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning. CoRR Marco Virgolin, Eric Medvet, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	Mixed-Block Neural Architecture Search for Medical Image Segmentation. CoRR Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
2022	B	`conf`	Mixed-block neural architecture search for medical image segmentation. Image Processing Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
2022	—	`conf`	Model-based evolutionary algorithms: GECCO 2022 tutorial. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2022	J	`jnl`	Multi-Objective Dual Simplex-Mesh Based Deformable Image Registration for 3D Medical Images - Proof of Concept. CoRR Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
2022	A	`conf`	Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models. GECCO E. M. C. Sijben, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models. CoRR E. M. C. Sijben, Tanja Alderliesten, Peter A. N. Bosman
2022	B	`conf`	Multi-objective dual simplex-mesh based deformable image registration for 3D medical images - proof of concept. Image Processing Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten
2022	J	`jnl`	Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization. CoRR Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman
2022	—	`conf`	Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization. PPSN (2) Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman
2022	A	`conf`	On genetic programming representations and fitness functions for interpretable dimensionality reduction. GECCO Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	On genetic programming representations and fitness functions for interpretable dimensionality reduction. CoRR Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization. Swarm Evol. Comput. Arthur Guijt, Ngoc Hoang Luong, Peter A. N. Bosman, Mathijs de Weerdt
2022	J	`jnl`	Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA. CoRR Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2022	A	`conf`	Solving multi-structured problems by introducing linkage kernels into GOMEA. GECCO Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2022	J	`jnl`	Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing. Evol. Comput. S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2021	J	`jnl`	A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies. ACM Trans. Evol. Learn. Optim. Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2021	J	`jnl`	A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning. CoRR Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2021	A	`conf`	A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning. GECCO Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2021	J	`jnl`	Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations. Evol. Comput. Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman
2021	J	`jnl`	Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration. CoRR Monika Grewal, Jan Wiersma, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2021	J	`jnl`	Fitness-Based Linkage Learning in the Real-Valued Gene-Pool Optimal Mixing Evolutionary Algorithm. IEEE Trans. Evol. Comput. Chantal Olieman, Anton Bouter, Peter A. N. Bosman
2021	B	`conf`	GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration. CEC Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman
2021	—	`conf`	Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms. GECCO Companion Michal Witold Przewozniczek, Marcin M. Komarnicki, Peter A. N. Bosman, Dirk Thierens, Bartosz Frej, Ngoc Hoang Luong
2021	J	`jnl`	Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions. Evol. Comput. Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman
2021	C	`conf`	Local Search is a Remarkably Strong Baseline for Neural Architecture Search. EMO Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman
2021	—	`conf`	Model-based evolutionary algorithms. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2021	J	`jnl`	Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization. CoRR Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
2021	—	`conf`	Optimization of multi-objective mixed-integer problems with a model-based evolutionary algorithm in a black-box setting. GECCO Companion Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman
2021	J	`jnl`	Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms. CoRR Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman
2021	—	`ch.`	Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm. Metaheuristics for Finding Multiple Solutions Stefanus C. Maree, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
2020	J	`jnl`	An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images. CoRR Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten
2020	B	`conf`	An end-to-end deep learning approach for landmark detection and matching in medical images. Image Processing Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten
2020	—	`conf`	Ensuring Smoothly Navigable Approximation Sets by Bézier Curve Parameterizations in Evolutionary Bi-objective Optimization. PPSN (2) Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2020	J	`jnl`	Ensuring smoothly navigable approximation sets by Bezier curve parameterizations in evolutionary bi-objective optimization - applied to brachytherapy treatment planning for prostate cancer. CoRR S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2020	A	`conf`	Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm. GECCO Anton Bouter, Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2020	J	`jnl`	Local Search is a Remarkably Strong Baseline for Neural Architecture Search. CoRR Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman
2020	—	`conf`	Model-based evolutionary algorithms: GECCO 2020 tutorial. GECCO Companion Dirk Thierens, Peter A. N. Bosman
2020	—	`conf`	Multi-objective Optimization by Uncrowded Hypervolume Gradient Ascent. PPSN (2) Timo M. Deist, Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2020	B	`conf`	Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms. Image Processing Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten
2020	J	`jnl`	Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms. CoRR Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten
2020	J	`jnl`	On explaining machine learning models by evolving crucial and compact features. Swarm Evol. Comput. Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2020	J	`jnl`	Real-valued Evolutionary Multi-modal Multi-objective Optimization by Hill-Valley Clustering. CoRR Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2020	—	`conf`	Robust Evolutionary Bi-objective Optimization for Prostate Cancer Treatment with High-Dose-Rate Brachytherapy. PPSN (2) Marjolein C. van der Meer, Arjan Bel, Yury Niatsetski, Tanja Alderliesten, Bradley R. Pieters, Peter A. N. Bosman
2020	J	`jnl`	Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy. CoRR Marco Virgolin, Ziyuan Wang, Brian V. Balgobind, Irma W. E. M. van Dijk, Jan Wiersma, Petra S. Kroon, Geert O. R. Janssens, Marcel van Herk, D. C. Hodgson, L. Zadravec Zaletel, C. R. N. Rasch, Arjan Bel, Peter A. N. Bosman, Tanja Alderliesten
2020	J	`jnl`	Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing. CoRR S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2019	J	`jnl`	A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions. CoRR Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman
2019	J	`jnl`	Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization. CoRR S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2019	A	`conf`	Convolutional neural network surrogate-assisted GOMEA. GECCO Arkadiy Dushatskiy, Adriënne M. Mendrik, Tanja Alderliesten, Peter A. N. Bosman
2019	J	`jnl`	Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration. Algorithms Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2019	B	`conf`	Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. Image Processing Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2019	J	`jnl`	Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy. Appl. Soft Comput. Ngoc Hoang Luong, Tanja Alderliesten, Bradley R. Pieters, Arjan Bel, Yury Niatsetski, Peter A. N. Bosman
2019	A	`conf`	Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression. GECCO Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2019	J	`jnl`	Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms. CoRR Marco Virgolin, Ziyuan Wang, Tanja Alderliesten, Peter A. N. Bosman
2019	—	`conf`	Model-based evolutionary algorithms. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2019	J	`jnl`	On Explaining Machine Learning Models by Evolving Crucial and Compact Features. CoRR Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
2019	A	`conf`	Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering. GECCO S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2019	—	`conf`	Toward self-learning model-based EAs. GECCO (Companion) Erik A. Meulman, Peter A. N. Bosman
2018	J	`jnl`	Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment. Swarm Evol. Comput. Ngoc Hoang Luong, Tanja Alderliesten, Arjan Bel, Yury Niatsetski, Peter A. N. Bosman
2018	J	`jnl`	Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization. CoRR S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2018	A	`conf`	Better and faster catheter position optimization in HDR brachytherapy for prostate cancer using multi-objective real-valued GOMEA. GECCO Marjolein C. van der Meer, Bradley R. Pieters, Yury Niatsetski, Tanja Alderliesten, Arjan Bel, Peter A. N. Bosman
2018	J	`jnl`	Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning. Evol. Comput. Ngoc Hoang Luong, Han La Poutré, Peter A. N. Bosman
2018	J	`jnl`	GAMBIT: A Parameterless Model-Based Evolutionary Algorithm for Mixed-Integer Problems. Evol. Comput. Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman
2018	—	`conf`	Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem. PPSN (1) G. H. Aalvanger, Ngoc Hoang Luong, Peter A. N. Bosman, Dirk Thierens
2018	A	`conf`	Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations. GECCO Ngoc Hoang Luong, Tanja Alderliesten, Peter A. N. Bosman
2018	A	`conf`	Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems. GECCO Anton Bouter, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter A. N. Bosman
2018	A	`conf`	Learning bayesian network structures with GOMEA. GECCO Kalia Orphanou, Dirk Thierens, Peter A. N. Bosman
2018	—	`conf`	Model-based evolutionary algorithms: GECCO 2018 tutorial. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2018	J	`jnl`	Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm with the Interleaved Multi-start Scheme. Swarm Evol. Comput. Ngoc Hoang Luong, Han La Poutré, Peter A. N. Bosman
2018	J	`jnl`	Real-Valued Evolutionary Multi-Modal Optimization driven by Hill-Valley Clustering. CoRR S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2018	A	`conf`	Real-valued evolutionary multi-modal optimization driven by hill-valley clustering. GECCO S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2018	A	`conf`	Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors. GECCO Marco Virgolin, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter A. N. Bosman
2018	J	`jnl`	The importance of implementation details and parameter settings in black-box optimization: a case study on Gaussian estimation-of-distribution algorithms and circles-in-a-square packing problems. Soft Comput. Peter A. N. Bosman, Marcus Gallagher
2018	J	`jnl`	Unveiling evolutionary algorithm representation with DU maps. Genet. Program. Evolvable Mach. Eric Medvet, Marco Virgolin, Mauro Castelli, Peter A. N. Bosman, Ivo Gonçalves, Tea Tusar
2017	B	`conf`	A novel model-based evolutionary algorithm for multi-objective deformable image registration with content mismatch and large deformations: benchmarking efficiency and quality. Image Processing Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman
2017	—	`conf`	Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. GECCO (Companion) Ngoc Hoang Luong, Anton Bouter, Marjolein C. van der Meer, Yury Niatsetski, Cees Witteveen, Arjan Bel, Tanja Alderliesten, Peter A. N. Bosman
2017	A	`conf`	Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm. GECCO Anton Bouter, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman
2017	A	`conf`	Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm. GECCO Krzysztof L. Sadowski, Marjolein C. van der Meer, Ngoc Hoang Luong, Tanja Alderliesten, Dirk Thierens, Rob van der Laarse, Yury Niatsetski, Arjan Bel, Peter A. N. Bosman
2017	—	`ed.`	Genetic and Evolutionary Computation Conference, Berlin, Germany, July 15-19, 2017, Companion Material Proceedings GECCO (Companion) Peter A. N. Bosman
2017	—	`conf`	Model-based evolutionary algorithms: GECCO 2017 tutorial. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2017	A	`conf`	Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning. GECCO S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
2017	A	`ed.`	Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2017, Berlin, Germany, July 15-19, 2017 GECCO Peter A. N. Bosman
2017	A	`conf`	Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning. GECCO Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman
2017	—	`conf`	Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection. GECCO (Companion) Anton Bouter, Kleopatra Pirpinia, Tanja Alderliesten, Peter A. N. Bosman
2017	A	`conf`	The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm. GECCO Anton Bouter, Ngoc Hoang Luong, Cees Witteveen, Tanja Alderliesten, Peter A. N. Bosman
2016	B	`conf`	A first step toward uncovering the truth about weight tuning in deformable image registration. Image Processing Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2016	A	`conf`	Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms. GECCO Peter A. N. Bosman, Ngoc Hoang Luong, Dirk Thierens
2016	—	`conf`	GECCO'16 Model-Based Evolutionary Algorithms (MBEA) Workshop Chairs' Welcome. GECCO (Companion) Peter A. N. Bosman, John A. W. McCall
2016	B	`conf`	Learning and exploiting mixed variable dependencies with a model-based EA. CEC Krzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens
2016	—	`conf`	Model-Based Evolutionary Algorithms. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2016	B	`conf`	Smart grid initialization reduces the computational complexity of multi-objective image registration based on a dual-dynamic transformation model to account for large anatomical differences. Image Processing Peter A. N. Bosman, Tanja Alderliesten
2016	A	`conf`	The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme. PPSN Willem den Besten, Dirk Thierens, Peter A. N. Bosman
2015	A	`conf`	A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables. GECCO Krzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens
2015	A	`conf`	Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration. GECCO Kleopatra Pirpinia, Tanja Alderliesten, Jan-Jakob Sonke, Marcel van Herk, Peter A. N. Bosman
2015	A	`conf`	Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning. GECCO Ngoc Hoang Luong, Han La Poutré, Peter A. N. Bosman
2015	B	`conf`	Getting the most out of additional guidance information in deformable image registration by leveraging multi-objective optimization. Image Processing Tanja Alderliesten, Peter A. N. Bosman, Arjan Bel
2015	—	`conf`	In Search of Optimal Linkage Trees. GECCO (Companion) Roy de Bokx, Dirk Thierens, Peter A. N. Bosman
2015	—	`conf`	Model-Based Evolutionary Algorithms. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2015	B	`conf`	On the usefulness of gradient information in multi-objective deformable image registration using a B-spline-based dual-dynamic transformation model: comparison of three optimization algorithms. Image Processing Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
2014	B	`conf`	A multi-resolution strategy for a multi-objective deformable image registration framework that accommodates large anatomical differences. Image Processing Tanja Alderliesten, Peter A. N. Bosman, Jan-Jakob Sonke, Arjan Bel
2014	A	`conf`	A novel population-based multi-objective CMA-ES and the impact of different constraint handling techniques. GECCO Sílvio Miguel Fragoso Rodrigues, Pavol Bauer, Peter A. N. Bosman
2014	A	`conf`	Combining Model-Based EAs for Mixed-Integer Problems. PPSN Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman
2014	—	`conf`	Efficiency enhancements for evolutionary capacity planning in distribution grids. GECCO (Companion) Ngoc Hoang Luong, Marinus O. W. Grond, Han La Poutré, Peter A. N. Bosman
2014	Misc	`conf`	Market Garden: A Simulation Environment for Research and User Experience in Smart Grids. PAAMS Bart Liefers, Felix Claessen, Eric J. Pauwels, Peter A. N. Bosman, Han La Poutré
2014	—	`conf`	Model-based evolutionary algorithms. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2014	A	`conf`	Multi-objective gene-pool optimal mixing evolutionary algorithms. GECCO Ngoc Hoang Luong, Han La Poutré, Peter A. N. Bosman
2014	—	`conf`	Practice-oriented optimization of distribution network planning using metaheuristic algorithms. PSCC Marinus O. W. Grond, Ngoc Hoang Luong, Johan Morren, Peter A. N. Bosman, Han Slootweg, Han La Poutré
2013	J	`jnl`	Benchmarking Parameter-Free AMaLGaM on Functions With and Without Noise. Evol. Comput. Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
2013	B	`conf`	Deformable image registration by multi-objective optimization using a dual-dynamic transformation model to account for large anatomical differences. Image Processing Tanja Alderliesten, Jan-Jakob Sonke, Peter A. N. Bosman
2013	A	`conf`	Hierarchical problem solving with the linkage tree genetic algorithm. GECCO Dirk Thierens, Peter A. N. Bosman
2013	—	`conf`	Local search and restart strategies for satisfiability solving in fuzzy logics. GEFS Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé
2013	J	`jnl`	Market Garden: A Scalable Research Environment for Heterogeneous Electricity Markets. ERCIM News Felix Claessen, Nicolas Höning, Bart Liefers, Han La Poutré, Peter A. N. Bosman
2013	—	`conf`	Medium-Voltage Distribution Network Expansion Planning with Gene-pool Optimal Mixing Evolutionary Algorithms. Artificial Evolution Hoang N. Luong, Marinus O. W. Grond, Peter A. N. Bosman, Han La Poutré
2013	—	`conf`	Model-based evolutionary algorithms. GECCO (Companion) Dirk Thierens, Peter A. N. Bosman
2013	A	`conf`	More concise and robust linkage learning by filtering and combining linkage hierarchies. GECCO Peter A. N. Bosman, Dirk Thierens
2013	A	`conf`	On the usefulness of linkage processing for solving MAX-SAT. GECCO Krzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens
2013	A	`conf`	Solving satisfiability in fuzzy logics by mixing CMA-ES. GECCO Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé
2012	—	`conf`	Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt. PPSN (2) Hoang N. Luong, Peter A. N. Bosman
2012	—	`conf`	Evolvability Analysis of the Linkage Tree Genetic Algorithm. PPSN (1) Dirk Thierens, Peter A. N. Bosman
2012	A	`conf`	Incremental gaussian model-building in multi-objective EDAs with an application to deformable image registration. GECCO Peter A. N. Bosman, Tanja Alderliesten
2012	—	`conf`	Learning the Neighborhood with the Linkage Tree Genetic Algorithm. LION Dirk Thierens, Peter A. N. Bosman
2012	A	`conf`	Linkage neighbors, optimal mixing and forced improvements in genetic algorithms. GECCO Peter A. N. Bosman, Dirk Thierens
2012	B	`conf`	Multi-objective optimization for deformable image registration: proof of concept. Image Processing Tanja Alderliesten, Jan-Jakob Sonke, Peter A. N. Bosman
2012	J	`jnl`	On Gradients and Hybrid Evolutionary Algorithms for Real-Valued Multiobjective Optimization. IEEE Trans. Evol. Comput. Peter A. N. Bosman
2012	—	`conf`	On Measures to Build Linkage Trees in LTGA. PPSN (1) Peter A. N. Bosman, Dirk Thierens
2012	A	`conf`	Predetermined versus learned linkage models. GECCO Dirk Thierens, Peter A. N. Bosman
2011	—	`conf`	Adaptive Strategies for Dynamic Pricing Agents. IAT Sara Ramezani, Peter A. N. Bosman, Han La Poutré
2011	A	`conf`	Optimal mixing evolutionary algorithms. GECCO Dirk Thierens, Peter A. N. Bosman
2011	—	`conf`	The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective. GECCO (Companion) Peter A. N. Bosman, Dirk Thierens
2010	J	`jnl`	A Computational Approach to Patient Flow Logistics in Hospitals. ERCIM News Anke K. Hutzschenreuter, Peter A. N. Bosman, Han La Poutré
2010	A	`conf`	Enhanced hospital resource management using anticipatory policies in online dynamic multi-objective optimization. GECCO Anke K. Hutzschenreuter, Peter A. N. Bosman, Han La Poutré
2010	A	`conf`	The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimization. GECCO Peter A. N. Bosman
2009	—	`conf`	AMaLGaM IDEAs in noiseless black-box optimization benchmarking. GECCO (Companion) Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
2009	—	`conf`	AMaLGaM IDEAs in noisy black-box optimization benchmarking. GECCO (Companion) Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
2009	C	`conf`	Evolutionary Multiobjective Optimization for Dynamic Hospital Resource Management. EMO Anke K. Hutzschenreuter, Peter A. N. Bosman, Han La Poutré
2009	A	`conf`	On empirical memory design, faster selection of bayesian factorizations and parameter-free gaussian EDAs. GECCO Peter A. N. Bosman
2009	B	`conf`	Optimization of Online Patient Scheduling with Urgencies and Preferences. AIME Ivan B. Vermeulen, Sander M. Bohté, Peter A. N. Bosman, Sylvia G. Elkhuizen, Piet J. M. Bakker, Johannes A. La Poutré
2008	—	`conf`	Agent-based patient admission scheduling in hospitals. AAMAS (Industry Track) Anke K. Hutzschenreuter, Peter A. N. Bosman, Ilona Blonk-Altena, Jan van Aarle, Han La Poutré
2008	A	`conf`	Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift. PPSN Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
2008	—	`ch.`	Learning Structure Illuminates Black Boxes - An Introduction to Estimation of Distribution Algorithms. Advances in Metaheuristics for Hard Optimization Jörn Grahl, Stefan Minner, Peter A. N. Bosman
2008	J	`jnl`	Matching inductive search bias and problem structure in continuous Estimation-of-Distribution Algorithms. Eur. J. Oper. Res. Peter A. N. Bosman, Jörn Grahl
2007	A	`conf`	Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms. GECCO Peter A. N. Bosman, Dirk Thierens
2007	A	`conf`	Convergence phases, variance trajectories, and runtime analysis of continuous EDAs. GECCO Jörn Grahl, Peter A. N. Bosman, Stefan Minner
2007	B	`conf`	Inventory management and the impact of anticipation in evolutionary stochastic online dynamic optimization. IEEE Congress on Evolutionary Computation Peter A. N. Bosman, Han La Poutré
2007	—	`ch.`	Learning and Anticipation in Online Dynamic Optimization. Evolutionary Computation in Dynamic and Uncertain Environments Peter A. N. Bosman
2007	A	`conf`	Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case. GECCO Peter A. N. Bosman, Han La Poutré
2007	A	`conf`	SDR: a better trigger for adaptive variance scaling in normal EDAs. GECCO Peter A. N. Bosman, Jörn Grahl, Franz Rothlauf
2007	J	`jnl`	Towards a Real-Time Minimally-Invasive Vascular Intervention Simulation System. IEEE Trans. Medical Imaging Tanja Alderliesten, Peter A. N. Bosman, Wiro J. Niessen
2006	A	`conf`	Combining gradient techniques for numerical multi-objective evolutionary optimization. GECCO Peter A. N. Bosman, Edwin D. de Jong
2006	A	`conf`	Computationally Intelligent Online Dynamic Vehicle Routing by Explicit Load Prediction in an Evolutionary Algorithm. PPSN Peter A. N. Bosman, Han La Poutré
2006	—	`ch.`	Multi-objective Optimization with the Naive 𝕄 ID 𝔼 A. Towards a New Evolutionary Computation Peter A. N. Bosman, Dirk Thierens
2006	—	`ch.`	Numerical Optimization with Real-Valued Estimation-of-Distribution Algorithms. Scalable Optimization via Probabilistic Modeling Peter A. N. Bosman, Dirk Thierens
2006	A	`conf`	The correlation-triggered adaptive variance scaling IDEA. GECCO Jörn Grahl, Peter A. N. Bosman, Franz Rothlauf
2005	—	`conf`	Evolutionary algorithms for medical simulations: a case study in minimally-invasive vascular interventions. GECCO Workshops Peter A. N. Bosman, Tanja Alderliesten
2005	A	`conf`	Exploiting gradient information in numerical multi--objective evolutionary optimization. GECCO Peter A. N. Bosman, Edwin D. de Jong
2005	—	`conf`	Learning, Anticipation and Time-Deception in Evolutionary Online Dynamic Optimization. BNAIC Peter A. N. Bosman
2005	—	`conf`	Learning, anticipation and time-deception in evolutionary online dynamic optimization. GECCO Workshops Peter A. N. Bosman
2005	C	`conf`	The Naive MIDEA: A Baseline Multi-objective EA. EMO Peter A. N. Bosman, Dirk Thierens
2004	A	`conf`	Learning Probabilistic Tree Grammars for Genetic Programming. PPSN Peter A. N. Bosman, Edwin D. de Jong
2003	J	`jnl`	The balance between proximity and diversity in multiobjective evolutionary algorithms. IEEE Trans. Evol. Comput. Peter A. N. Bosman, Dirk Thierens
2002	J	`jnl`	Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms. Int. J. Approx. Reason. Peter A. N. Bosman, Dirk Thierens
2002	A	`conf`	Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations. PPSN Peter A. N. Bosman, Dirk Thierens
2000	A	`conf`	Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA. PPSN Peter A. N. Bosman, Dirk Thierens
1999	A	`conf`	Linkage Information Processing In Distribution Estimation Algorithms. GECCO Peter A. N. Bosman, Dirk Thierens