This script is an implementation of the Particle Swarm Optimization algorithm in Python. It can be used to perform basic experiments with PSO.
Actually, this is more than just the algorithm. I added a lot of features to play with. For example:
- Several topologies (circle, star and geographical neighborhood)
- Some standard functions to test on (sphere,griewank,rastrigin,rosenbrock)
- Logging capabilities (to csv format, even code to plot graphs with that in GNU R can be produced)
- Experiment setups. Average over many iterations and/or automatically change conditions of your choice and let several trials run while you get a fresh cup of coffee :-)
To use it, navigate into the directory where the pypso directory resides, open a Python session and type:
$ import pypso.base $ pypso.base.run()
(you can also navigate into the pypso directory and leave the "pypso."-parts away in the python-session)
There are a lot of things to tweak with in the file conf.py.
If you have comments and/or help, feel free to drop me a line at nhoening [at] gmail [dot] com
-------- GNU Licence ------- This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA'