Set of modules for analyzing turtle ant data to find parameters that best explain choices made by real turtle ants, as well as modules for implementing and testing various turtle ant-inspired algorithms.
All of the code is written in Python 2.7. In addition to the standard python modules, running the code will require the python packages Numpy, Matplotlib/Pylab, Pandas, Scipy, and Networkx. We suggest installing the lastest version of the Anaconda distribution of Python in order to easily obtain and maintain all the required packages and dependencies.
Additionally, to use the code to make videos of simulated ants carrying out the algorithms, you will need to install ffmpeg; we suggest doing this via Homebrew.
To test some of the ant algorithms with a variety of networks and parameter values, one can run the following sequence of commands on a remote server:
python make_bash.py -s rank uniform -g minimal full -dt exp -m 1000 -l 1k -emin 0.1 -emax 0.4 -dmin 0.01 -dmax 0.3 -estep 0.01 -dstep 0.01
python run_simulations.py -s rank uniform -g minimal full -dt exp -l 1k -x 5
python plot_results.py -s rank uniform -g minimal full -dt exp -m 1000 -l 1k
Then to download and view results locally:
python download_results.py -s rank uniform -g minimal full -dt exp -l 1k -me path_success_rate