Mean field annealing explained
Mean field annealing is a deterministic approximation to the simulated annealing technique of solving optimization problems.[1] This method uses mean field theory and is based on Peierls' inequality.
Notes and References
- Mean field annealing: a formalism for constructing GNC-like algorithms . Bilbro, G.L. . Snyder, W.E. . Garnier, S.J. . Gault, J.W. . IEEE Transactions on Neural Networks . Jan 1992 . 3 . 1 . 131–138 . 10.1109/72.105426. 18276414 .