Install
pip install genes
Use
from genes import *
To create initial population (randomly):
inital_population: Population = population_factory.create_population(POPULATION, LENGTH, PERCENTAGE)
where:
POPULATION - is a number of individuals
LENGTH - is a Genotype length
PERCENTAGE - each Genotype is randomly created, and consists a list of Gens (the length of which
is determined by the LENGTH) - this factor allows to set percentage of chance to get "1" for a particular Gen.
Sample FitnessFunction:
class SimpleFitnessFunction(FitnessFunction):
def fit(self, genotype: Genotype) -> float:
n = 0
for gen in genotype:
if gen is True:
n += 1
return n
Having the initial population and fitness function defined, the Genetic Algorithm can be started:
genes_api = genes_api_from_params_factory(
SimpleFitnessFunction(),
GAFactoryParams(
population=POPULATION,
selection_limit=POPULATION // 2,
children_per_pair=4,
mutation_probability=0.2,
)
)
gen = genes_api.calculate(inital_population, GENERATIONS)
where:
GENERATIONS - is how many generations we want to calculate
To print the last generated generation type (the first column is the fitness function result):
print(gen)
77 111011111011011110101110111111110001110111111101110111011111111111110101101010011111111000111111111
78 111111111011011110101110111111110001110111111101110111011111111111110101101010011111111000111111111
78 111111111011011110101110111111110001110111111101110111011111111111110101101010011111111000111111111
77 111111111011011110101110111111110001100111110101110111011111111111111101101010011111110100111111111
78 111111111011011110101110111111110001110111110101110111011111111111111101101010011111110100111111111
78 111111111011011110101110111111110001110111110101110111011111111111111101101010011111110100111111111
78 111111111011011110101110111111110001110111111101110111011111111111110101101010011111111000111111111
...
Dependencies required to play with plots:
import json
import pandas as pd
import matplotlib
Example:
p = pd.read_json(json.dumps(genes_api.stats.population_history_stats))
p.plot(figsize=(20,6))
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