Mean field annealing

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.

References

  1. ↑ Bilbro, G.L.; Snyder, W.E.; Garnier, S.J.; Gault, J.W. (Jan 1992). "Mean field annealing: a formalism for constructing GNC-like algorithms" (PDF). IEEE Transactions on Neural Networks. 3 (1): 131–138. doi:10.1109/72.105426.


This article is issued from Wikipedia - version of the 6/3/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.