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.-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.