Konstantin Riedl

Statistics

Publications

Citations

118

H-Index

Active since

2021

Affiliations

Technical University of Munich(Current)

Munich Center for Machine Learning

Simula Research Laboratory

University of Graz

University of Calgary

Konstantin Riedl is an author at Technical University of Munich specializing in global optimization, metaheuristic optimization, and natural sciences.

ORCID

Publications per year

2021–2024

Publications

On the Global Convergence of Particle Swarm Optimization Methods

Hui Huang, Jinniao Qiu, Konstantin Riedl · Applied Mathematics & Optimization · 2023 · 54 citations · Full text

Natural Sciences, Mathematics, Dynamical Systems +16

Consensus-Based Optimization Methods Converge Globally

Massimo Fornasier, Timo Klock, Konstantin Riedl · SIAM Journal on Optimization · 2024 · 26 citations

Natural Sciences, Computer Science, Algorithms +16

Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law

Konstantin Riedl · European Journal of Applied Mathematics · 2023 · 14 citations · Full text

Natural Sciences, Computer Science, Mathematics +17

Consensus-Based Optimization for Saddle Point Problems

Hui Huang, Jinniao Qiu, Konstantin Riedl · SIAM Journal on Control and Optimization · 2024 · 13 citations

Natural Sciences, Computer Science, Algorithms +16

Consensus-based optimization methods converge globally in mean-field law.

Massimo Fornasier, Timo Klock, Konstantin Riedl · arXiv (Cornell University) · 2021 · 11 citations · Full text

Natural Sciences, Computer Science, Algorithms +15

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