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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.

Release History

This version
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0.4.1

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0.4.0

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0.3.1

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0.3.0

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0.2.0

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0.1.2

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0.1.1

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0.1

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Filename, Size & Hash SHA256 Hash Help File Type Python Version Upload Date
simanneal-0.4.1-py2.py3-none-any.whl
(5.8 kB) Copy SHA256 Hash SHA256
Wheel py2.py3 Aug 19, 2017
simanneal-0.4.1-py3.6.egg
(9.4 kB) Copy SHA256 Hash SHA256
Egg 3.6 Aug 19, 2017
simanneal-0.4.1-py3-none-any.whl
(5.8 kB) Copy SHA256 Hash SHA256
Wheel py3 Aug 19, 2017
simanneal-0.4.1.tar.gz
(4.4 kB) Copy SHA256 Hash SHA256
Source None Aug 19, 2017

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