关注
Claudia Totzeck
标题
引用次数
引用次数
年份
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
1552017
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
1312018
Trends in consensus-based optimization
C Totzeck
Active Particles, Volume 3: Advances in Theory, Models, and Applications …, 2021
432021
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
412020
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
402021
Consensus-Based Global Optimization with Personal Best
C Totzeck, MT Wolfram
arXiv preprint arXiv:2005.07084, 2020
292020
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
212023
An anisotropic interaction model with collision avoidance
C Totzeck
arXiv preprint arXiv:1912.04234, 2019
192019
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
162018
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
92022
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
92016
Consensus-based optimization for multi-objective problems: a multi-swarm approach
K Klamroth, M Stiglmayr, C Totzeck
Journal of Global Optimization, 1-32, 2024
82024
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
82023
Kinetic based optimization enhanced by genetic dynamics
G Albi, F Ferrarese, C Totzeck
arXiv preprint arXiv:2306.09199, 2023
42023
Interacting Particles and Optimization
R Pinnau, C Totzeck
PAMM 18 (1), e201800182, 2018
42018
Time-continuous microscopic pedestrian models: an overview
R Korbmacher, A Nicolas, A Tordeux, C Totzeck
Crowd Dynamics, Volume 4: Analytics and Human Factors in Crowd Modeling, 55-80, 2023
32023
Optimal control for port-Hamiltonian systems and a new perspective on dynamic network flow problems
OT Doganay, K Klamroth, B Lang, M Stiglmayr, C Totzeck
arXiv preprint arXiv:2303.15082, 2023
32023
Multi-scale description of pedestrian collective dynamics with port-Hamiltonian systems
A Tordeux, C Totzeck
arXiv preprint arXiv:2211.06503, 2022
32022
Optimal control for interacting particle systems driven by neural networks
S Göttlich, C Totzeck
arXiv preprint arXiv:2101.12657, 2021
32021
系统目前无法执行此操作,请稍后再试。
文章 1–20