Skip to main content

Distributed Evolutionary Algorithms in Python

Project description

DEAP stands for Distributed Evolutionary Algorithm in Python, it is dedicated to people who wish to learn how to use evolutionary algorithms and to those who wish to rediscover evolutionary algorithms. DEAP is the proof that evolutionary algorithms do not need to be neither complex or complicated.

DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelisation mechanism such as multiprocessing and SCOOP (http://scoop.googlecode.com/).

Project details


Release history Release notifications

History Node

1.2.2

History Node

1.2.1

History Node

1.2.1rc3

History Node

1.2.1b0

History Node

1.2.1a2

History Node

1.2.1a1

History Node

1.2.1a0

History Node

1.2.0

History Node

1.0.2

History Node

1.0.1

History Node

1.0.0

This version
History Node

1.0.0rc3

History Node

0.9.2

History Node

0.9.1

History Node

0.9.0

History Node

0.8.2

History Node

0.8.1

History Node

0.8

History Node

0.7.1

History Node

0.7

History Node

0.6

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
deap-1.0.0rc3.tar.gz (845.4 kB) Copy SHA256 hash SHA256 Source None Feb 17, 2014

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page