On the convergence of global-optimization fraudulent stochastic algorithms
We introduce and analyse the almost sure convergence of a new stochastic algorithm for the global minimization of Morse functions on compact Riemannian manifolds. This diffusion process is called fraudulent because it requires the knowledge of minimal value of the function to minimize. Its investigation is nevertheless important, since in particular it appears as the limit behavior of non-fraudulent and time-inhomogeneous swarm mean-field algorithms used in global optimization.
Authors
- Laurent Miclo (ORCID: https://orcid.org/0000-0001-5502-2862)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université Toulouse III - Paul Sabatier (FR)
- Institut National des Sciences Appliquées de Toulouse (FR)
- Toulouse School of Economics (FR)
- Toulouse Mathematics Institute (FR)
- Institut de Mathématiques de Toulouse (FR)
Publication Details
- Journal
- Annales Henri Lebesgue
- Published
- 2025-10-03
- DOI
- https://doi.org/10.5802/ahl.242
- Citations
- 1
- Primary Topic
- Stochastic processes and financial applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agence Nationale de la Recherche
- Air Force Office of Scientific Research