From

Institution

Field

Type

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

Reset

Papers matching “optimization efficiency” 108

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

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

Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Dirk Abel

6

citations
Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy
2026 arXiv (Cornell University) preprint Computer Science Software Engineering Research Open access

Elisa Chiarotto, Jingbo Li, P. Chris Broekema, Rob V. van Nieuwpoort

0

citations
Understanding and Improving Optimization in Predictive Coding Networks
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Nick Alonso, Jeffrey L. Krichmar, Emre Neftci

0

citations
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning
2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg

0

citations
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis
2023 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Luise F. Kaven, Artur M. Schweidtmann, Jana Israel, Nadja Wolter, Alexander Mitsos

0

citations
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems
2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

0

citations
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more

1

citations
MMD-Newton Method for Multi-objective Optimization
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hao Wang, Chenyu Shi, Angel E. Rodríguez-Fernandez, Oliver Schütze

0

citations
Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing
2020 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Patrick Echtenbruck, Martina Echtenbruck, Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich

1

citations
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck

7

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
LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Georgios Laskaris, Reuben Brasher, Bas van Stein, Elena Raponi, Thomas Bäck, Florian Neukart

0

citations
Adaptive Encoding Strategy for Quantum Annealing in Mixed-Variable Engineering Optimization
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Fabian Key, Lukas Freinberger, Mayu Muramatsu, Norbert Hosters

0

citations
Bayesian Optimization via Continual Variational Last Layer Training
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek

0

citations
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more

1

citations
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more

1

citations
Soft Preference Optimization: Aligning Language Models to Expert Distributions
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Arsalan Sharifnassab, Saber Salehkaleybar, Sina Ghiassian, Surya Kanoria, Dale Schuurmans

0

citations
Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman

1

citations
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
2025 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, +1 more

0

citations
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Marco Pleines, Matthias Pallasch, Fränk Zimmer, Mike Preuß

0

citations
Distributed Event-Based Learning via ADMM
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Guner Dilsad Er, Sebastian Trimpe, Michael Muehlebach

0

citations