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Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization2021 Swarm and Evolutionary Computation article Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck
24citations -
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr
3citations -
Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization2021 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Baeck
1citations -
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Carola Doerr, Peter Korošec, Tome Eftimov
1citations -
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms2023 Lecture notes in computer science conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr
6citations -
The importance of landscape features for performance prediction of modular CMA-ES variants2022 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Carola Doerr, Peter Korošec, Tome Eftimov
15citations -
Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data2026 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Bayesian Modeling and Causal Inference Open access
Damy M. F. Ha, Thalea Schlender, Yvette M. van der Linden, Peter A. N. Bosman, Tanja Alderliesten
0citations -
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman
2citations -
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Evi Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
2citations -
Using Machine Learning Methods to Assess Module Performance Contribution in Modular Optimization Frameworks2024 Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Peter Korošec, Sašo Džeroski, Carola Doerr, Tome Eftimov
6citations -
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access
E. M. C. Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
0citations -
Reinforcement Learning for Quality-Oriented Production Process Parameter Optimization Based on Predictive Models2023 Advances in transdisciplinary engineering book-chapter Computer Science Reinforcement Learning in Robotics Open access
Akshay Paranjape, Nils Plettenberg, Markus Ohlenforst, Robert Heinrich Schmitt
2citations -
Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA2025 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Georgios Andreadis, Eduard Ruiz Munné, Thomas Bäck, Peter A. N. Bosman, Tanja Alderliesten
1citations -
Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization2024 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access
Fu Xing Long, Bas van Stein, Moritz A. Frenzel, Markus Gitterle, Thomas Bäck
8citations -
Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models2022 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access
Fabian Waschkowski, Haochen Li, Abhishek J. Deshmukh, Temistocle Grenga, Yaomin Zhao, Heinz G. Pitsch, +2 more
4citations -
Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models2024 Flow Turbulence and Combustion article Computer Science Evolutionary Algorithms and Applications Open access
Fabian Waschkowski, Haochen Li, Abhishek J. Deshmukh, Temistocle Grenga, Yaomin Zhao, Heinz G. Pitsch, +2 more
3citations -
DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology2021 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access cited by 1 patent
Xuhan Liu, Kai Ye, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen
118citations