A stochastic gradient flow on particle swarms driven by a softmin energy approximation converges to global minima for strongly convex functions and exhibits faster hitting times between wells than overdamped Langevin dynamics.
Signal processing with fractional lower order moments: stable processes and their applications.Proceedings of the IEEE, 81(7):986–1010, 1993
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Global Optimization via Softmin Energy Minimization
A stochastic gradient flow on particle swarms driven by a softmin energy approximation converges to global minima for strongly convex functions and exhibits faster hitting times between wells than overdamped Langevin dynamics.