Skip to main content

A Python library for Cartesian genetic programming.

Project description

cgpy

A Python library for Cartesian genetic programming.

Unit tests

Run python -m unittest discover -v in the root folder.

Getting Started

Install the package using pip pip install cgpy

The following code creates a random CGP and evaluates its function

op_table = [Operation("+"), Operation("*"), Operation("sin")]

dims = 2
nr_of_parameters = 0
nr_of_nodes = 5
cgp = create_random_cgp(dims, nr_of_parameters, op_table, nr_of_nodes)

pnt = [0.5, 1.5]
print(cgp.eval(pnt))

See more examples in the example folder and the documentation at www.cgpy.org

Cgpy is developed by Viktor Wase with contributions and assistance from John Brynte Turesson and Johannes Wennberg.

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

cgpy-0.0.6.tar.gz (9.6 kB view hashes)

Uploaded source

Built Distribution

cgpy-0.0.6-py3-none-any.whl (11.0 kB view hashes)

Uploaded py3

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