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Papers matching “local optimization” 148

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Local Preferential Bayesian Optimization
2026 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Johanna Menn, Miriam Kober, Paul Brunzema, David Stenger, Sebastian Trimpe

0

citations
Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization
2020 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Chu Yi, Chuan Wen Luo, Holger H. Hoos, Qingwei Lin, Haihang You

0

citations
Local policy search with Bayesian optimization
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sarah Müller, Alexander von Rohr, Sebastian Trimpe

17

citations
Optimal Local Convergence Rates of Stochastic First-Order Methods under Local $α$-PL
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran

0

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
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
Palace: A Parallel Adaptive Local-Search Algorithm Based on Competition and Evolution for Orienteering Problems and Variants
2023 Preprints.org preprint Engineering Vehicle Routing Optimization Methods Open access

Haiwei Lei, Yonghao Du, Lining Xing, Yingwu Chen

1

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
Extremum Seeking with Double Integrators in the Presence of Local Extrema
2026 arXiv (Cornell University) preprint Engineering Extremum Seeking Control Systems Open access

Raik Suttner, Christian Ebenbauer, Sergey N. Dashkovskiy

0

citations
Extremum Seeking with Double Integrators in the Presence of Local Extrema
2026 arXiv (Cornell University) preprint Engineering Extremum Seeking Control Systems Open access

Raik Suttner, Christian Ebenbauer, Sergey N. Dashkovskiy

0

citations
Optimal design of a local renewable electricity supply system for power-intensive production processes with demand response
2024 arXiv (Cornell University) preprint Engineering Integrated Energy Systems Optimization Open access

Sonja H.M. Germscheid, Benedikt Nilges, Niklas V. von der Assen, Alexander Mitsos, Manuel Dahmen

0

citations
Non-Local Extremum Seeking Based on the Divergence Theorem
2026 arXiv (Cornell University) preprint Engineering Extremum Seeking Control Systems Open access

Raik Suttner, Christian Ebenbauer, Sergey N. Dashkovskiy

0

citations
Participatory Mapping of Local Green Hydrogen Cost-Potentials in Sub-Saharan Africa
2024 arXiv (Cornell University) preprint Energy Hybrid Renewable Energy Systems Open access

Heidi Heinrichs, Shitab Ishmam, Bagher Bayat, Amin Lahnaoui, S. N. Agbo, Edgar Ubaldo Peña Sánchez, +19 more

2

citations
How will Local Energy Markets influence the pan-European Day-ahead Market and Transmission Systems? A Case Study for Local Markets in France and Germany
2022 preprint Engineering Electric Power System Optimization Open access

Carlo Schmitt, Klemens Schumann, Katharina Kollenda, Olivier Rebenaque, Théo Dronne, Arnault Martin, +3 more

1

citations
How will Local Energy Markets influence the pan-European Day-ahead Market and Transmission Systems? A Case Study for Local Markets in France and Germany
2022 preprint Engineering Electric Power System Optimization Open access

Carlo Schmitt, Klemens Schumann, Katharina Kollenda, Olivier Rebenaque, Théo Dronne, Arnault Martin, +3 more

0

citations
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
2026 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Paul Brunzema, Sebastian Trimpe

0

citations
Source Identification by Consensus-Based Optimization
2024 arXiv (Cornell University) preprint Medicine Optical Imaging and Spectroscopy Techniques Open access

Jan O. Friedrich, Sarah Schraven, Fabian M. Kiessling, Michaël Herty

0

citations
DistributedDesignOptimizer: A modular Python framework for Setup, Execution and Processing of Distributed Design Optimization
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Sebastian Ellmaier, A.J. de Wit, Akilesh Raveendran, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova

0

citations
Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization
2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Empirical Quantum Advantage in Constrained Optimization from Encoded Unitary Designs
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

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
Finite de Finetti for convex bodies and Polynomial Optimization
2026 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Julius A. Zeiss, Gereon Koßmann, René Schwonnek, Martin Plávala

0

citations
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe

0

citations
Separating Geometry From Interference in Constrained Quantum Optimization
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Chinonso Onah, Stuart Hadfield, Kristel F. L. Michielsen

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