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Adaptive Simulated Annealing (ASA) is a C-language code developed to statistically find the best global fit of a nonlinear constrained non-convex cost-function over a D-dimensional space. This algorithm permits an annealing schedule for "temperature" T decreasing exponentially in annealing-time k, T = T_0 exp(-c k^1/D). The introduction of re-annealing also permits adaptation to changing sensitivities in the multi-dimensional parameter-space. This annealing schedule is faster than fast Cauchy annealing, where T = T_0/k, and much faster than Boltzmann annealing, where T = T_0/ln k.  ASA has over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems.




Current code can be downloaded and used at no charge from:




http://www.ingber.com#ASA
https://sourceforge.net/projects/asa-caltech/
https://code.google.com/p/adaptive-simulated-annealing/