57 citations · 148 across the 15 of their papers we have counts for
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math.OC2022★ 15 cited
Consensus-Based Optimization for Saddle Point Problems
Hui Huang, Jinniao Qiu, Konstantin Riedl
In this paper, we propose consensus-based optimization for saddle point problems (CBO-SP), a novel multi-particle metaheuristic derivative-free optimization method capable of prova…
math.NA2022★ 14 cited
Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law
Konstantin Riedl
In this paper we study consensus-based optimization (CBO), a versatile, flexible and customizable optimization method suitable for performing nonconvex and nonsmooth global optimiz…
math.NA2022★ 57 cited
On the Global Convergence of Particle Swarm Optimization Methods
Hui Huang, Jinniao Qiu, Konstantin Riedl
In this paper we provide a rigorous convergence analysis for the renowned particle swarm optimization method by using tools from stochastic calculus and the analysis of partial dif…