On The Simulated Annealing In $\mathbf{R}^d$
Nicolas Fournier, Camille Tardif

TL;DR
This paper extends the theoretical understanding of continuous-time simulated annealing in high-dimensional spaces by weakening growth assumptions and establishing conditions for invariant measures, with additional results on diffusion non-explosion.
Contribution
It significantly broadens the conditions under which simulated annealing is proven to succeed in , relying only on the existence of an invariant measure at low temperature.
Findings
Weakened growth assumptions for simulated annealing success.
Proved existence of invariant probability measures at low temperature.
Provided a non-explosion criterion for certain diffusions.
Abstract
Using a localization procedure and the result of Holley-Kusuoka-Stroock [7] in the torus, we widely weaken the usual growth assumptions concerning the success of the continuous-time simulated annealing in . Our only assumption is the existence of an invariant probability measure for a sufficiently low temperature. We also prove, in an appendix, a non-explosion criterion for a class of time-inhomogeneous diffusions.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Theoretical and Computational Physics
