Skip to main content

EvoOpt: Python Implementation of State-of-Art Evolutionary Algorithms

Project description

EvoOpt - Evolutionary Optimization in Python

EvoOpt Logo

Python implementation of state-of-art meta-heuristic and evolutionary optimisation algorithms.

** This library is implemented in Numpy (which was written in C) for fast processing speed**

Current support for algorithms:

[x] Genetic Algorithm

[x] Duelist Algorithm

[X] Particle Swarm Optimization

[X] Gravitational Search Algorithm

[X] Firefly Algorithm

[ ] Multi-Verse Optimization

[ ] Grey-Wolf Optimization

Results

Result Image

More Updates to Come

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

EvoOpt-0.12.tar.gz (9.1 kB view hashes)

Uploaded Source

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