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Papers matching “continuous optimization” 36

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When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova

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
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
2021 preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro Lei Minku, Anna V. Kononova

1

citations
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
2021 preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro Lei Minku, Anna V. Kononova

1

citations
Data-Driven Product-Process Optimization of N-Isopropylacrylamide Microgel Flow-Synthesis
2023 SSRN Electronic Journal 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-objective Optimization of Long-run Average and Total Rewards
2020 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Tim Quatmann, Joost-Pieter Katoen

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
Strong Global Convergence of the Consensus-Based Optimization Algorithm
2025 RWTH Publications (RWTH Aachen) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Sabrina Bonandin, Konstantin Riedl, Sara Veneruso

0

citations
The Hypervolume Newton Method for Constrained Multi-objective Optimization Problems
2022 Preprints.org preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hao Wang, Michael Emmerich, Andre H. Deutz, Víctor Adrián Sosa Hernández, Oliver Schütze

4

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
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
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr

2

citations
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov

1

citations
Optimal Fidelity Estimation from Binary Measurements for Discrete and Continuous Variable Systems
2024 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Omar Fawzi, Aadil Oufkir, Robert Salzmann

0

citations
Continuous Sweep for Binary Quantification Learning
2023 arXiv (Cornell University) preprint Computer Science Imbalanced Data Classification Techniques Open access

Kevin Kloos, Julian David Karch, Quinten Meertens, Mark de Rooij

0

citations
Optimal Refinement in Dynamic Discretisation Discovery for Continuous-Time Service Network Design
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Alexander Helber, Oliver Bachtler, Tom Wüllner

0

citations
Identifying Properties of Real-World Optimisation Problems through a Questionnaire
2020 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, +2 more

7

citations
Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Yangjie Mei, Hao Wang

0

citations
Trajectory-based Algorithm Selection with Warm-starting
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Anja Jankovič, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr

2

citations
Receding Horizon Control Using Graph Search for Multi-Agent Trajectory Planning
2021 preprint Computer Science Robotic Path Planning Algorithms Open access

Patrick Scheffe, Matheus V. A. Pedrosa, Kathrin Flaßkamp, Bassam Alrifaee

9

citations
Receding Horizon Control Using Graph Search for Multi-Agent Trajectory Planning
2021 preprint Computer Science Robotic Path Planning Algorithms Open access

Patrick Scheffe, Matheus V. A. Pedrosa, Kathrin Flaßkamp, Bassam Alrifaee

3

citations
Receding Horizon Control Using Graph Search for Multi-Agent Trajectory Planning
2022 preprint Computer Science Robotic Path Planning Algorithms Open access

Patrick Scheffe, Matheus V. A. Pedrosa, Kathrin Flaßkamp, Bassam Alrifaee

0

citations
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı, Atilla Eryılmaz

0

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
Deep Research: A Systematic Survey
2025 Preprints.org preprint Computer Science Topic Modeling Open access

Yiqun Chen, Haitao Li, Weiwei Sun, Yougang Lyu, Run-Ze Fan, Bowen Jin, +15 more

1

citations