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Mathematical Analysis of the PDE Model for the Consensus-based Optimization
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abstract
In this paper, we develop an analytical framework for the partial differential equation underlying the consensus-based optimization model. The main challenge arises from the nonlinear, nonlocal nature of the consensus point, coupled with a diffusion term that is both singular and degenerate. By employing a regularization procedure in combination with a compactness argument, we establish the global existence and uniqueness of weak solutions in $L^\infty(0,T;L^1\cap L^\infty(\mathbb{R}^d))$. Furthermore, we show that the weak solutions exhibit improved $H^2$-regularity when the initial data is regular.
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Cited by 1 Pith paper
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Consensus-based optimization for closed-box adversarial attacks and a connection to evolution strategies
Consensus-based optimization matches or beats natural evolution strategies as a closed-box adversarial attack method in easier attack scenarios, and consensus hopping is shown to be a gradient-descent-like limit of CBO.
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