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https://github.com/wildart/evolutionary.jl
Evolutionary & genetic algorithms for Julia
https://github.com/wildart/evolutionary.jl
cmaes differential-evolution evolution-strategies evolutionary-algorithms genetic-algorithm genetic-programming julia multiobjective-optimization optimisation optimization pareto-front
Last synced: 6 days ago
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Evolutionary & genetic algorithms for Julia
- Host: GitHub
- URL: https://github.com/wildart/evolutionary.jl
- Owner: wildart
- License: other
- Created: 2014-09-08T22:48:20.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2023-06-20T21:43:13.000Z (over 1 year ago)
- Last Synced: 2024-08-03T20:04:03.367Z (4 months ago)
- Topics: cmaes, differential-evolution, evolution-strategies, evolutionary-algorithms, genetic-algorithm, genetic-programming, julia, multiobjective-optimization, optimisation, optimization, pareto-front
- Language: Julia
- Homepage:
- Size: 1.6 MB
- Stars: 322
- Watchers: 8
- Forks: 61
- Open Issues: 28
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
# Evolutionary
A Julia package for [evolutionary](http://www.scholarpedia.org/article/Evolution_strategies) & [genetic](http://en.wikipedia.org/wiki/Genetic_algorithm) algorithms.
| **Documentation** | **Build Status** | **References** |
|:-------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------:|:-:|
| [![][docs-stable-img]][docs-stable-url] [![][docs-dev-img]][docs-dev-url] | [![][CI-img]][CI-url] [![][coverage-img]][coverage-url] | [![][doi-img]][doi-url]
## Installation
The package can be installed with the Julia package manager.
From the Julia REPL, type `]` to enter the Pkg REPL mode and run:
```
pkg> add Evolutionary
```
## Algorithms
- (μ/ρ(+/,)λ)-SA-ES (ES)
- (μ/μI,λ)-CMA-ES (CMAES)
- Genetic Algorithms (GA)
- Multi-objective: NSGA-II (NSGA2)
- Differential Evolution (DE)
- Genetic Programming (TreeGP)
## Operators
- Mutations
- ES
- (an)isotropic Gaussian
- (an)isotropic Cauchy
- GA
- binary
- flip
- inversion
- real valued
- uniform
- Gaussian
- BGA (domain range)
- (MI)PM (power)
- PLM (polynomial)
- combinatorial
- inversion
- insertion
- swap2
- scramble
- shifting
- Recombinations
- average
- marriage
- Crossovers
- binary
- SPX (single point)
- TPX (two point)
- SHFX (shuffle)
- UX (uniform)
- BINX (binary)
- EXPX (exponential)
- BSX (binary subset)
- real valued
- DC (discrete)
- AX (average)
- WAX (weighted average)
- IC (intermediate)
- LC (line)
- HX (heuristic)
- (MI)LX (Laplace)
- SBX (simulated binary)
- combinatorial
- PMX (partially-mapped)
- OX1 (order)
- OX2 (order-based)
- CX (cycle)
- POS (position-based)
- Selections
- rank-based fitness assignment
- (μ, λ)-uniform ranking
- roulette (fitness proportionate selection, FSP)
- stochastic universal sampling (SUS)
- tournament
- truncation
[docs-dev-img]: https://img.shields.io/badge/docs-dev-blue.svg
[docs-dev-url]: https://wildart.github.io/Evolutionary.jl/dev
[docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg
[docs-stable-url]: https://wildart.github.io/Evolutionary.jl/stable
[travis-img]: https://travis-ci.org/wildart/Evolutionary.jl.svg?branch=master
[travis-url]: https://travis-ci.org/wildart/Evolutionary.jl
[CI-img]: https://github.com/wildart/Evolutionary.jl/actions/workflows/CI.yml/badge.svg
[CI-url]: https://github.com/wildart/Evolutionary.jl/actions/workflows/CI.yml
[coverage-img]: https://img.shields.io/coveralls/wildart/Evolutionary.jl.svg
[coverage-url]: https://coveralls.io/r/wildart/Evolutionary.jl?branch=master
[issues-url]: https://github.com/wildart/Evolutionary.jl/issues
[doi-img]: https://zenodo.org/badge/DOI/10.5281/zenodo.5110647.svg
[doi-url]: https://doi.org/10.5281/zenodo.5110647