genetic-algorithm 0.2.2

A python package implementing the genetic algorithm

Genetic Algorithm

Installation

pip install genetic_algorithm

Use Cases

from genetic_algorithm import GeneticAlgorithm

def func(a,b,c,d):
return -(a-1)**2 - (b-3)**2 - (c-5) ** 2 - len(d)


def fitness(params):
return func(**params)


param_space = {"a": {'type': 'float', 'range':[0, 2]},
"b": {'type': 'float', 'range':[1, 5]},
"c": {'type': 'int', 'range':[3, 7]},
"d": {'type': 'object', 'range':['ab', 'abc', 'abcd', 'a']}}

ga = GeneticAlgorithm(model=fitness,
param_space=param_space,
pop_size=100,
parent_pool_size=5,
max_iter=100,
mutation_prob=0.2,
max_stop_rounds=5)

result = ga.evolve()
print(result)