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Communication Dans Un Congrès Année : 2012

A generalized simulated annealing approach to image reconstruction

Résumé

It is common pratice to speed-up simulated annealing by allowing the cost function and/or the candidate-solution generation mechanism to vary with temperature. We de- rive simple sufficient conditions for the global convergence of such generalized simulated annealing algorithms. These conditions are surprisingly weak; in particular, they do not involve the variations of the cost function with tempera-ture. We show that our results can be successfully applied to image reconstruction problems involving challenging optimization tasks.
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Dates et versions

hal-00829699 , version 1 (03-06-2013)

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  • HAL Id : hal-00829699 , version 1

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M. Robini. A generalized simulated annealing approach to image reconstruction. 6th SIAM conf. on Imaging Science, May 2012, Philadelphia, United States. ⟨hal-00829699⟩
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