Skip to main content

Genetic Algorithms in Python

Project description

Big Bird

Big Bird is a (hopefully) useful package designed to facilitate the quick and convenient creation of basic genetic algorithms in python.

Usage

import bigbird

# Big Bird Config
pop_size = 3000
hl_count = 2
layer_counts = [8, 5, 5, 3]
m_r8 = 0.14
step_ratio = 1/3
reinit_r = 0.01
immune = 30

max_generation = 300

population = bigbird.Population(pop_size, hl_count, layer_counts)

for generation in range(max_generation):
    for bird in population.birds:
        bird_inp = your_input_generation_fn()
        bird_out = bird.eval(bird_inp)
        decision = output.tolist().index(max(output))
        bird.fitness = your_fitness_fn(decision)

    champ = sorted(population.birds, key=lambda x: x.fitness)[-1]
    champ.save(fname='./hall-of-fame/champ-' + str(generation) + '.json')

    population.store(immune)
    population.breed()
    population.mutate(m_r8, step_ratio, reinit=reinit_r)
    population.retrieve()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bigbird-0.0.24.tar.gz (2.8 kB view hashes)

Uploaded Source

Built Distribution

bigbird-0.0.24-py3-none-any.whl (3.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page