SIMANN: A Global Optimization Algorithm using Simulated Annealing
نویسندگان
چکیده
منابع مشابه
Simulated Annealing and Global Optimization
Nelder-Mead (when you don’t know ∇f ) and steepest descent/conjugate gradient (when you do). Both of these methods are based on attempting to generate a sequence of positions xk with monotonically decreasing f(xk) in the hopes that the xk → x∗, the global minimum for f . If f is a convex function (this happens surprisingly often), and has only one local minimum, these methods are exactly the ri...
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ژورنال
عنوان ژورنال: Studies in Nonlinear Dynamics & Econometrics
سال: 1996
ISSN: 1558-3708
DOI: 10.2202/1558-3708.1020