A consensus-based model for global optimization and its mean-field limit R Pinnau, C Totzeck, O Tse, S Martin Mathematical Models and Methods in Applied Sciences 27 (01), 183-204, 2017 | 142 | 2017 |
An analytical framework for consensus-based global optimization method JA Carrillo, YP Choi, C Totzeck, O Tse Mathematical Models and Methods in Applied Sciences 28 (06), 1037-1066, 2018 | 122 | 2018 |
Trends in consensus-based optimization C Totzeck Active Particles, Volume 3: Advances in Theory, Models, and Applications …, 2021 | 42 | 2021 |
Instantaneous control of interacting particle systems in the mean-field limit M Burger, R Pinnau, C Totzeck, O Tse, A Roth Journal of Computational Physics 405, 109181, 2020 | 42 | 2020 |
Mean-field optimal control and optimality conditions in the space of probability measures M Burger, R Pinnau, C Totzeck, O Tse SIAM Journal on Control and Optimization 59 (2), 977-1006, 2021 | 41 | 2021 |
Consensus-Based Global Optimization with Personal Best C Totzeck, MT Wolfram arXiv preprint arXiv:2005.07084, 2020 | 27 | 2020 |
Consensus-based optimization and ensemble Kalman inversion for global optimization problems with constraints JA Carrillo, C Totzeck, U Vaes Modeling and Simulation for Collective Dynamics, 195-230, 2023 | 19 | 2023 |
An anisotropic interaction model with collision avoidance C Totzeck arXiv preprint arXiv:1912.04234, 2019 | 16 | 2019 |
A Numerical Comparison of Consensus‐Based Global Optimization to other Particle‐based Global Optimization Schemes C Totzeck, R Pinnau, S Blauth, S Schotthöfer PAMM 18 (1), e201800291, 2018 | 16 | 2018 |
Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks S Göttlich, C Totzeck Mathematics of Control, Signals, and Systems 34 (1), 185-214, 2022 | 9 | 2022 |
Space mapping-based receding horizon control for stochastic interacting particle systems: dogs herding sheep C Totzeck, R Pinnau Journal of Mathematics in Industry 10, 1-19, 2020 | 9* | 2020 |
Controlling a self-organizing system of individuals guided by a few external agents--particle description and mean-field limit M Burger, R Pinnau, A Roth, C Totzeck, O Tse arXiv preprint arXiv:1610.01325, 2016 | 9 | 2016 |
Consensus-based optimization for multi-objective problems: a multi-swarm approach K Klamroth, M Stiglmayr, C Totzeck Journal of Global Optimization, 1-32, 2024 | 7 | 2024 |
Ensemble-based gradient inference for particle methods in optimization and sampling C Schillings, C Totzeck, P Wacker SIAM/ASA Journal on Uncertainty Quantification 11 (3), 757-787, 2023 | 6 | 2023 |
Kinetic based optimization enhanced by genetic dynamics G Albi, F Ferrarese, C Totzeck arXiv preprint arXiv:2306.09199, 2023 | 4 | 2023 |
Interacting Particles and Optimization R Pinnau, C Totzeck PAMM 18 (1), e201800182, 2018 | 4 | 2018 |
Multi-scale description of pedestrian collective dynamics with port-Hamiltonian systems A Tordeux, C Totzeck arXiv preprint arXiv:2211.06503, 2022 | 3 | 2022 |
Optimal control for interacting particle systems driven by neural networks S Göttlich, C Totzeck arXiv preprint arXiv:2101.12657, 2021 | 3 | 2021 |
Mean-field optimal control for biological pattern formation M Burger, LM Kreusser, C Totzeck ESAIM: Control, Optimisation and Calculus of Variations 27, 40, 2021 | 3 | 2021 |
Asymptotic Analysis of Optimal Control Problems and Global Optimization C Totzeck Verlag Dr. Hut, 2017 | 3 | 2017 |