问题
I have been looking for a python module that implements the common techniques of global optimization (finding the global minimum of a function in N dimensions) without success.
If you heard about a simulated annealing or genetic algorithm implementation in python, please share.
回答1:
Scipy's optimize module has an anneal function that might fit your needs. Also, you should check out the PyEvolve module for doing a genetic algorithm.
回答2:
I'm not an expert, but have you looked at:
- Scipy's optimize: http://docs.scipy.org/doc/scipy/reference/optimize.html#global
- NLOpt: http://ab-initio.mit.edu/wiki/index.php/NLopt_Introduction
- OpenOpt: http://openopt.org/Foreword
回答3:
One of the most common is scipy.optimize.
For genetic algorithms, there's pygene.
Also, the aima-python project has implementations of algorithms described in Russell and Norvig's "Artificial Intelligence: A Modern Approach".
来源：https://stackoverflow.com/questions/4227538/python-module-for-multiple-variable-global-optimization