From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “heuristic methods” 109

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Heuristic circuit mapping strategies for the SpinBus architecture
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Quantum Computing Algorithms and Architecture Open access

Martin Baum

0

citations
Cylindrical algebraic decomposition based methods in satisfiability modulo non-linear real arithmetic
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Polynomial and algebraic computation Open access

0

citations
Systematic Comparison of Projection Methods for Monocular 3D Human Pose Estimation on Fisheye Images
2025 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Human Pose and Action Recognition Open access

Stephanie Käs, Henrik Thillmann, Anton Burenko, David B. Adrian, Timm Linder, Bastian Leibe

1

citations
Micro-macro decomposition of particle swarm optimization methods
2025 Kinetic and Related Models article Computer Science Metaheuristic Optimization Algorithms Research Open access

Michaël Herty, Sara Veneruso

0

citations
Rigorous methods for computational number theory
2025 arXiv (Cornell University) preprint Computer Science Cryptography and Residue Arithmetic Open access

Alice Pellet-Mary, Benjamin Wesolowski

0

citations
An adaptive consensus based method for multi-objective optimization with uniform Pareto front approximation
2022 RWTH Publications (RWTH Aachen) article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

0

citations
An Adaptive Consensus Based Method for Multi-objective Optimization with Uniform Pareto Front Approximation
2023 Applied Mathematics & Optimization article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

30

citations
Extensions of the Cylindrical Algebraic Covering Method for Quantifiers
2026 Mathematics in Computer Science article Computer Science Polynomial and algebraic computation Open access

Jasper Nalbach, Gereon Kremer

1

citations
On complexity reduction of the discrete-event subsystem of Flat Hybrid Automata for control design
2020 at - Automatisierungstechnik article Computer Science Formal Methods in Verification

Tobias Kleinert, Frederik Zahn, Veit Hagenmeyer

2

citations
Trade-offs between classical and quantum space using spooky pebbling
2025 Logical Methods in Computer Science article Computer Science Quantum Computing Algorithms and Architecture Open access

Arend-Jan Quist, Alfons Laarman

1

citations
Learning to Search and Searching to Learn for Generalization in Planning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Michael Aichmüller, Yannik Hesse, Hector Geffner

0

citations
Parallel Clustered Mesh Simplification with Quantifiable Error for Unified Mesh Representations in Rasterization and BVH-Based Digital Twin Simulations
2026 ACM Transactions on Parallel Computing article Computer Science Computer Graphics and Visualization Techniques Open access

Moritz Alfrink, Jürgen Roßmann

0

citations
SLOPE: Search with Learned Optimal Pruning-based Expansion
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Davor Bokan, Zlatan Ajanović, Bakir Lačević

0

citations
Truly Unordered Probabilistic Rule Sets for Multi-class Classification
2022 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Lincen Yang, Matthijs van Leeuwen

0

citations
Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs
2025 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Martin Grohe

0

citations
Advanced statistical analysis of empirical performance scaling
2020 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Parallel Computing and Optimization Techniques

Yasha Pushak, Holger H. Hoos

2

citations
Explainable Benchmarking for Iterative Optimization Heuristics
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck

2

citations
Optimizing Causal Interventions in Hybrid Bayesian Networks
2024 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more

0

citations
User-centered design in mobile human-robot cooperation: consideration of usability and situation awareness in GUI design for mobile robots at assembly workplaces
2023 i-com article Computer Science Usability and User Interface Design Open access

Christian Colceriu, Sabine Theis, Sigrid Brell‐Çokcan, Verena Nitsch

9

citations
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP
2023 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Moritz Vinzent Seiler, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, Heike Trautmann

7

citations
Learning Explainable and Better Performing Representations of POMDP Strategies
2024 Lecture notes in computer science conference-paper Computer Science Reinforcement Learning in Robotics Open access

Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Křetínský, Stefanie Mohr

5

citations
TACoS: A Tool for MTL Controller Synthesis
2021 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification

Till Hofmann, Stefan Schupp

3

citations
Learning Explainable and Better Performing Representations of POMDP Strategies
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Křetínský, Stefanie Mohr

2

citations
Algorithms for Efficiently Computing Structural Anonymity in Complex Networks
2023 ACM Journal of Experimental Algorithmics article Computer Science Privacy-Preserving Technologies in Data Open access

R. Jong, Mark van der Loo, Frank W. Takes

2

citations
Machine learning with classical data
2025 Cambridge University Press eBooks book-chapter Computer Science Quantum Computing Algorithms and Architecture Open access

Sam McArdle, Mario Berta, Chi-Fang Chen, Connor T. Hann, Aleksander Kubica, Grant Salton, +1 more

0

citations