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Papers matching “tool optimization” 44

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IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics
2020 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck

0

citations
Versatile Black-Box Optimization
2020 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Jialin Liu, Antoine Moreau, Mike Preuß, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, +1 more

2

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
Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems
2020 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Koen van der Blom, Timo M. Deist, Tea Tušar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, +2 more

1

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
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı

1

citations
MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler
2024 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López‐Ibáñez, +2 more

0

citations
Tabu-driven Quantum Neighborhood Samplers
2020 Leiden Repository (Leiden University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

3

citations
CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms
2026 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Felix Bonhoff, Thiemo Pesch, Andrea Benigni, Alexander Mitsos, Manuel Dahmen

0

citations
Non-Elitist Selection Can Improve the Performance of Irace
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bäck

0

citations
Doing More with Less: Accurate and Scalable Ligand Free Energy Calculations by Focusing on the Binding Site
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David Alencar Araripe, Alejandro Díaz‐Holguín, Antti Poso, Gerard J. P. van Westen, Johan Åqvist, Hugo Gutiérrez‐de‐Terán, +1 more

0

citations
QligFEP-2: an automated workflow for small molecule free energy calculations in Q
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David Alencar Araripe, Alejandro Díaz‐Holguín, Antti Poso, Gerard J. P. van Westen, Johan Åqvist, Hugo Gutiérrez‐de‐Terán, +1 more

0

citations
QligFEP-2: an automated workflow for small molecule free energy calculations in Q
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David Alencar Araripe, Alejandro Díaz‐Holguín, Antti Poso, Gerard J. P. van Westen, Johan Åqvist, Hugo Gutiérrez‐de‐Terán, +1 more

0

citations
Compressed-sensing Lindbladian quantum tomography with trapped ions
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dmitrii Dobrynin, Markus Michael Müller, A. Bermúdez

0

citations
Reinforcement Learning with Verifiable Rewards for Small Search Agents
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Gaurisankar Jayadas, Aske Plaat, Álvaro Serra-Gómez, Sandheep P

0

citations
DrugEx: Deep Learning Models and Tools for Exploration of Drug-like Chemical Space
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Martin Šícho, Sohvi Luukkonen, Helle W. van den Maagdenberg, Linde Schoenmaker, Olivier J. M. Béquignon, Gerard J. P. van Westen

1

citations
DrugEx: Deep Learning Models and Tools for Exploration of Drug-like Chemical Space
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Martin Šícho, Sohvi Luukkonen, Helle W. van den Maagdenberg, Linde Schoenmaker, Olivier J. M. Béquignon, Gerard J. P. van Westen

1

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
Cross-comparison of state of the art neuromorphological simulators on modern CPUs and GPUs using the Brain Scaffold Builder
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Robin De Schepper, Nora Abi Akar, Thorsten Hater, B. F. B. Huisman, Egidio Ugo D'Angelo, Abigail Morrison, +1 more

2

citations
The gem5 Simulator: Version 20.0+
2020 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram, Mohammad Alian, Rico Amslinger, Matteo Maria Andreozzi, +67 more

15

citations
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites
2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, +4 more

2

citations
Accurate optimal quantum error correction thresholds from coherent information
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Luis Colmenárez, Ze-Min Huang, Sebastian Diehl, Markus Michael Müller

0

citations
Repulsive Curves.
2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access

Christopher Yu, Keenan Crane

1

citations
The FAIR Data Point Populator: collaborative FAIRification and population of FAIR Data Points
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Research Data Management Practices Open access

Daphne Wijnbergen, Rajaram Kaliyaperumal, Luiz Olavo Bonino da Silva Santos, Barend Mons, Marco Roos, Eleni Mina

0

citations
QTFlow: Quantitative Timing-Sensitive Information Flow for Security-Aware Hardware Design on RTL
2024 arXiv (Cornell University) preprint Computer Science Physical Unclonable Functions (PUFs) and Hardware Security Open access

Lennart M. Reimann, Anschul Prashar, Chiara Ghinami, Rebecca Pelke, Dominik Šišejković, Farhad Merchant, +1 more

0

citations