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
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
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