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Simulated Annealing in Python

Project description

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.

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0.4.2

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0.4.1

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0.1.2

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Filename, size & hash SHA256 hash help File type Python version Upload date
simanneal-0.4.2-py2.py3-none-any.whl (4.9 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Apr 9, 2018
simanneal-0.4.2.tar.gz (7.6 kB) Copy SHA256 hash SHA256 Source None Apr 9, 2018

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