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Papers matching “adaptive optimization algorithm” 46

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Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu

4

citations
Large Language Models and Evolutionary Computation: A Critical Review of Bidirectional Interaction, Automated Algorithm Design, and Co-Adaptive Systems
2025 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Dikshit Chauhan, Bapi Dutta, Indu Bala, Bas van Stein, 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
Adaptive greedy algorithm for moderately large dimensions in kernel conditional density estimation
2021 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Minh-Lien Jeanne Nguyen, Claire Lacour, Vincent Rivoirard

2

citations
Adaptive Optimization of TLS Overhead for Wireless Communication in Critical Infrastructure
2024 arXiv (Cornell University) preprint Computer Science Advanced Authentication Protocols Security Open access

Jörn Bodenhausen, Laurenz Grote, Michael Rademacher, Martin Henze

0

citations
An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Catalin-Viorel Dinu, Yash J. Patel, Xavier Bonet-Monroig, Hao Wang

0

citations
From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors
2026 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Qi Huang, Furong Ye, Ananta Shahane, Thomas Bäck, Bas van Stein

0

citations
Transfer learning of optimal QAOA parameters in combinatorial optimization
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

J. A. Montañez-Barrera, Dennis Willsch, Kristel F. L. Michielsen

3

citations
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Aku Kammonen, Raul F. Tempone

0

citations
An Extended Multi-Model Regression Approach for Compressive Strength Prediction and Optimization of a Concrete Mixture
2021 arXiv (Cornell University) preprint Engineering Concrete and Cement Materials Research Open access

Seyed Arman Taghizadeh Motlagh

0

citations
Towards Self-adaptive Mutation in Evolutionary Multi-Objective Algorithms
2023 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck

0

citations
Design of efficient high-order immersed metagratings using an evolutionary algorithm
2025 preprint Materials Science Metamaterials and Metasurfaces Applications Open access

Ralf Kohlhaas, Bernhard Brandl, Jacob de Nobel, Anna V. Kononova

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
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
2023 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Chendi Qian, Didier Chételat, Christopher Morris

2

citations
Event-Triggered Time-Varying Bayesian Optimization
2022 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe

1

citations
Feasibility-Driven Trust Region Bayesian Optimization
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Paolo Ascia, Elena Raponi, Thomas Bäck, Fabian M. E. Duddeck

0

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
Joint Link Adaptation and Device Scheduling Approach for URLLC Industrial IoT Network: A DRL-based Method with Bayesian Optimization
2025 arXiv (Cornell University) preprint Engineering Advanced Wireless Network Optimization Open access

Wei Gao, Paul Zheng, Peng Wu, Yulin Hu, Anke Schmeink

0

citations
Comparative Analysis of Indicators for Multiobjective Diversity Optimization
2024 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Ksenia Pereverdieva, Andre H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer, Michael Emmerich

0

citations
A Decade of Bayesian Optimization for Controller Tuning and Robot Learning: Tutorial, Review, and Future Prospects
2026 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

David Stenger, Paul Brunzema, Johanna Menn, Alexander von Rohr, Angela P. Schoellig, Sebastian Trimpe

0

citations
Comparator-adaptive Convex Bandits
2020 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Dirk van der Hoeven, Ashok Cutkosky, Haipeng Luo

2

citations
Event-Triggered Safe Bayesian Optimization on Quadcopters
2023 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Antonia Holzapfel, Paul Brunzema, Sebastian Trimpe

0

citations
What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?
2022 arXiv (Cornell University) preprint Engineering Vehicle Dynamics and Control Systems Open access

Robert Ritschel, Felix Krabbes, Rick Voßwinkel, Hendrik Richter

0

citations
Fundamental Limitations of QAOA on Constrained Problems and a Route to Exponential Enhancement
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Chinonso Onah, Kristel F. L. Michielsen

0

citations
Robust Energy System Design via Semi-infinite Programming
2024 arXiv (Cornell University) preprint Engineering Integrated Energy Systems Optimization Open access

Moritz Wedemeyer, Eike Cramer, Alexander Mitsos, Manuel Dahmen

0

citations