Simulated Annealing in Python
simanneal is a python implementation of the [simulated annealing optimization](http://en.wikipedia.org/wiki/Simulated_annealing) 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](http://en.wikipedia.org/wiki/Combinatorial_optimization) problems defined by complex objective functions that rely on external data.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for simanneal-0.3.1-py2.py3-none-any.whl