Peter A. N. Bosman
Orcid: 0000-0002-4186-6666
According to our database1,
Peter A. N. Bosman
authored at least 180 papers
between 1999 and 2024.
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Bibliography
2024
CoRR, 2024
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation.
CoRR, 2024
Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them.
CoRR, 2024
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals.
CoRR, 2024
MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data.
CoRR, 2024
A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration.
CoRR, 2024
Balancing Between Time Budgets and Costs in Surrogate-Assisted Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
2023
Dagstuhl Reports, 2023
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.
CoRR, 2023
Convolutions, transformers, and their ensembles for the segmentation of organs at risk in radiation treatment of cervical cancer.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Bi-objective optimization of organ properties for the simulation of intracavitary brachytherapy applicator placement in cervical cancer.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 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
MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
Solving multi-structured problems by introducing linkage kernels into GOMEA - Source Code.
Dataset, December, 2022
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization.
Swarm Evol. Comput., 2022
Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing.
Evol. Comput., 2022
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning.
CoRR, 2022
Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning.
CoRR, 2022
Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Multi-objective dual simplex-mesh based deformable image registration for 3D medical images - proof of concept.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
On genetic programming representations and fitness functions for interpretable dimensionality reduction.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Evolvability degeneration in multi-objective genetic programming for symbolic regression.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Adaptive objective configuration in bi-objective evolutionary optimization for cervical cancer brachytherapy treatment planning.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 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
Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021
A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies.
ACM Trans. Evol. Learn. Optim., 2021
Fitness-Based Linkage Learning in the Real-Valued Gene-Pool Optimal Mixing Evolutionary Algorithm.
IEEE Trans. Evol. Comput., 2021
Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions.
Evol. Comput., 2021
Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations.
Evol. Comput., 2021
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration.
CoRR, 2021
CoRR, 2021
Optimization of multi-objective mixed-integer problems with a model-based evolutionary algorithm in a black-box setting.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Evolutionary Multi-Criterion Optimization, 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
Swarm Evol. Comput., 2020
Ensuring smoothly navigable approximation sets by Bezier curve parameterizations in evolutionary bi-objective optimization - applied to brachytherapy treatment planning for prostate cancer.
CoRR, 2020
Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing.
CoRR, 2020
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy.
CoRR, 2020
Robust Evolutionary Bi-objective Optimization for Prostate Cancer Treatment with High-Dose-Rate Brachytherapy.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Ensuring Smoothly Navigable Approximation Sets by Bézier Curve Parameterizations in Evolutionary Bi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
An end-to-end deep learning approach for landmark detection and matching in medical images.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 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
2019
Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms.
CoRR, 2019
CoRR, 2019
A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions.
CoRR, 2019
Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy.
Appl. Soft Comput., 2019
Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration.
Algorithms, 2019
Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm with the Interleaved Multi-start Scheme.
Swarm Evol. Comput., 2018
Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment.
Swarm Evol. Comput., 2018
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., 2018
Genet. Program. Evolvable Mach., 2018
GAMBIT: A Parameterless Model-Based Evolutionary Algorithm for Mixed-Integer Problems.
Evol. Comput., 2018
Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning.
Evol. Comput., 2018
Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization.
CoRR, 2018
Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Better and faster catheter position optimization in HDR brachytherapy for prostate cancer using multi-objective real-valued GOMEA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations.
Proceedings of the Genetic and Evolutionary Computation Conference, 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
Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 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
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
2016
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
A first step toward uncovering the truth about weight tuning in deformable image registration.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
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.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
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.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Getting the most out of additional guidance information in deformable image registration by leveraging multi-objective optimization.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image Registration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Practice-oriented optimization of distribution network planning using metaheuristic algorithms.
Proceedings of the 2014 Power Systems Computation Conference, 2014
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
Market Garden: A Simulation Environment for Research and User Experience in Smart Grids.
Proceedings of the Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014
A multi-resolution strategy for a multi-objective deformable image registration framework that accommodates large anatomical differences.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
A novel population-based multi-objective CMA-ES and the impact of different constraint handling techniques.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
Market Garden: A Scalable Research Environment for Heterogeneous Electricity Markets.
ERCIM News, 2013
Evol. Comput., 2013
Deformable image registration by multi-objective optimization using a dual-dynamic transformation model to account for large anatomical differences.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
More concise and robust linkage learning by filtering and combining linkage hierarchies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Medium-Voltage Distribution Network Expansion Planning with Gene-pool Optimal Mixing Evolutionary Algorithms.
Proceedings of the Artificial Evolution, 2013
2012
On Gradients and Hybrid Evolutionary Algorithms for Real-Valued Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2012
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Incremental gaussian model-building in multi-objective EDAs with an application to deformable image registration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Enhanced hospital resource management using anticipatory policies in online dynamic multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
On empirical memory design, faster selection of bayesian factorizations and parameter-free gaussian EDAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009
Proceedings of the Artificial Intelligence in Medicine, 2009
2008
Matching inductive search bias and problem structure in continuous Estimation-of-Distribution Algorithms.
Eur. J. Oper. Res., 2008
Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift.
Proceedings of the Parallel Problem Solving from Nature, 2008
Learning Structure Illuminates Black Boxes - An Introduction to Estimation of Distribution Algorithms.
Proceedings of the Advances in Metaheuristics for Hard Optimization, 2008
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008
2007
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007
IEEE Trans. Medical Imaging, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Inventory management and the impact of anticipation in evolutionary stochastic online dynamic optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006
Computationally Intelligent Online Dynamic Vehicle Routing by Explicit Load Prediction in an Evolutionary Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Combining gradient techniques for numerical multi-objective evolutionary optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the Towards a New Evolutionary Computation, 2006
2005
Exploiting gradient information in numerical multi--objective evolutionary optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Evolutionary algorithms for medical simulations: a case study in minimally-invasive vascular interventions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Learning, anticipation and time-deception in evolutionary online dynamic optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005
2004
Proceedings of the Parallel Problem Solving from Nature, 2004
2003
The balance between proximity and diversity in multiobjective evolutionary algorithms.
IEEE Trans. Evol. Comput., 2003
2002
Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms.
Int. J. Approx. Reason., 2002
Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations.
Proceedings of the Parallel Problem Solving from Nature, 2002
2000
Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA.
Proceedings of the Parallel Problem Solving from Nature, 2000
1999
Linkage Information Processing In Distribution Estimation Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999