Python implementation of coupled simulated annealing (CSA)
Coupled simulated annealing (CSA) is a generalization of simulated annealing (SA), which is an optimization algorithm that doesn’t use any information about the derivates of a function. The original paper describing CSA can be found here:
Essentially, CSA is like multiple simulated annealing (i.e. m independent SA processes run in parallel), except that the acceptance probability at each step is calculated as a function of the current state across all m processes. For a more complete description of the general CSA algorithm, see Description of CSA.
pip install pycsa
Directly from GitHub:
pip install git+https://github.com/structurely/csa.git
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size pycsa-0.1.3-py2-none-any.whl (6.9 kB)||File type Wheel||Python version py2||Upload date||Hashes View|
|Filename, size pycsa-0.1.3.tar.gz (4.8 kB)||File type Source||Python version None||Upload date||Hashes View|