The Simulated Annealing algorithm is inspired by the physical process of annealing in metallurgy. It is a probabilistic technique for approximating the global optimum of a given function. Specifically ...
We emphasize intuition gained from analogy to statistical physics, where this is an annealing process that avoids many shallow local minima of the specified cost and, at the limit of zero ...
Simulated annealing is used to find a close-to-optimal solution amongst an extremely large (but finite) set of potential solutions. The process involves:: For a state to be accepted, it must either be ...
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