GeneticFramworkPython

A small and simple library for running genetic algorithms, in Python.

Examples

The following examples are included

Name	filename	Link to description of the problem
Optimize volume of a cylinder	example_maximize_cylinder_volume.py
Optimize volume of a cone	example_maximize_cone_volume.py
Combine resistors into a network with the wanted resistance	example_resistors.py
Eight queens problem	example_eight_queens_problem.py	https://en.wikipedia.org/wiki/Eight_queens_puzzle

Use it by calling the run function in habitat.py, with the user specified function objects, for manipulating the genome.

API

#runs evolutionary process
#if a stop condition is given the process returns a result specimen organism
# genome G then
# init() -> G
# mutate(G) -> G
# output(G) -> ()
# evaluate(G) -> number the fitness function, gives back a score so that two genomes can be compaired
# combine_specimen(G, G) -> G 
# stop_condition(G) -> bool the default implementation runs indefinately
def run(initiate, mutate, output, evaluate, combine_specimen=combine_not_implemented, stop_condition= lambda genome: False):