Consensus-based optimisation with truncated noise

Consensus-based optimisation with truncated noise

Consensus-based optimisation (CBO) is a versatile multi-particle metaheuristic optimisation method suitable for performing non-convex and non-smooth global optimisations in high dimensions. It has proven effective in various applications while at the same time being amenable to a theoretical converg...

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Bibliographic Details
Main Authors:	Massimo Fornasier, Peter Richtárik, Konstantin Riedl, Lukang Sun
Format:	Article
Language:	English
Published:	Cambridge University Press 2025-04-01
Series:	European Journal of Applied Mathematics
Subjects:	Global optimisation derivative-free optimisation non-smoothness non-convexity metaheuristics consensus-based optimisation truncated noise 65K10 90C26 90C56 35Q90 35Q84
Online Access:	https://www.cambridge.org/core/product/identifier/S095679252400007X/type/journal_article
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