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simanneal 0.4.0

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

 
File Type Py Version Uploaded on Size
simanneal-0.4.0-py2.py3-none-any.whl (md5) Python Wheel py2.py3 2017-04-29 5KB
simanneal-0.4.0.tar.gz (md5) Source 2017-04-29 4KB