Simulated Annealing in Python
simanneal is a Python implementation of the simulated annealing optimization technique.
Simulated annealing is used to find a close-to-optimal solution among an extremely large (but finite) set of potential solutions. It is particularly useful for combinatorial optimization problems defined by complex objective functions that rely on external data.
See https://github.com/perrygeo/simanneal for docs
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