3 citations · 4 across the 6 of their papers we have counts for
13 papers
Consensus-Based Optimization for Multi-Objective Problems: A Multi-Swarm Approach
Kathrin Klamroth, Michael Stiglmayr, Claudia Totzeck
We propose a multi-swarm approach to approximate the Pareto front of general multi-objective optimization problems that is based on the Consensus-based Optimization method (CBO). T…
Gradient-based parameter calibration of an anisotropic interaction model for pedestrian dynamics
Zhomart Turarov, Claudia Totzeck
We propose an extension of the anisotropic interaction model which allows for collision avoidance in pairwise interactions by a rotation of forces \cite{arXiv:1912.04234} by includ…
Consensus-based Optimization and Ensemble Kalman Inversion for Global Optimization Problems with Constraints
J. A. Carrillo, C. Totzeck, U. Vaes
We introduce a practical method for incorporating equality and inequality constraints in global optimization methods based on stochastic interacting particle systems, specifically…
Parameter calibration with Consensus-based Optimization for interaction dynamics driven by neural networks
Simone Göttlich, Claudia Totzeck
We calibrate parameters of neural networks that model forces in interaction dynamics with the help of the Consensus-based global optimization method (CBO). We state the general fra…
Trends in Consensus-based optimization
Claudia Totzeck
In this chapter we give an overview of the consensus-based global optimization algorithm and its recent variants. We recall the formulation and analytical results of the original m…
Space mapping-based optimization with the macroscopic limit of interacting particle systems
Jennifer Weißen, Simone Göttlich, Claudia Totzeck
We propose a space mapping-based optimization algorithm for microscopic interacting particle dynamics which are inappropriate for direct optimization. This is of relevance for exam…