The main script is the ga.py file which contains base classes for creating
your own Genetic Algorithm (i.e.
import ga; env = ga.Environment(kind=YourKind) where YourKind is some
class inheriting ga.IndividualBase) or for simply running the provided
implementation of the Traveling Salesman Problem.
Usage for the latter:
Usage: ga.py [options]
Options:
-h, --help show this help message and exit
-g MAX_GENERATIONS, --max-generations=MAX_GENERATIONS
Continue till we have reached MAX_GENERATIONS
-p POPULATION_SIZE, --population-size=POPULATION_SIZE
Store POPULATION_SIZE different individuals
-c CROSSOVER_RATE, --crossover-rate=CROSSOVER_RATE
Set crossover probability to CROSSOVER_RATE (between 0
and 1)
-m MUTATION_RATE, --mutation-rate=MUTATION_RATE
Set mutation probability to MUTATION_RATE (between 0
and 1)
-e ELITISM, --elitism=ELITISM
Enable elitism for the top ELITISM results
--print-interval=PRINT_INTERVAL
Print intermediate results for every PRINT_INTERVAL
generations. Use 0 for no intermediate output
--csv=CSV Return csv output for easy plotting every CSV
generation
--csv-file=CSV_FILE Where to write the csv output to (defaults to STDOUT)
-s SAMPLES, --samples=SAMPLES
The amount of samples to use. Very useful with csv
output
--processes=PROCESSES
By default the samples are calculated in parallel, you
can change the amount of simultaneous processes with
PROCESSES
To generate all output automatically there is also a script called generate_charts.sh available which automatically try all kinds of different values for elitism, population, mutation and crossover.
This library has been tested with Python 2.7, freely available from Python.org
and has no other "hard" requirements. For prettier output I recommend installing
fabulous though, it's a Python module that enables coloured output within
your shell and makes everything a lot prettier.
If you run a Python version before 2.7 than you probably need to install the multiprocessing library. I am not entirely certain about the specific since I don't have a pre 2.7 machine available right now.
If you have any questions, feel free to mail me at: Rick _at_ Fawo _dot_ nl