goga

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).

optimization

View on GitHub

43 Stars

8 Forks

43 Watchers

Go Language

bsd-3-clause License

Cost to Build

$1.95M

Market Value

$2.64M

How is this calculated?

Growth over time

7 data points · 2021-07-01 → 2023-04-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about goga

Question copied to clipboard

What is the cpmech/goga GitHub project? Description: "Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).". Written in Go. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone goga

Clone via HTTPS

git clone https://github.com/cpmech/goga.git

Clone via SSH

[email protected]:cpmech/goga.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the goga issue tracker:

Open GitHub Issues

Similar to goga

prepack svgo closure-compiler llvm clean-css simplify imagemin game-programming-patterns webpackmonitor reactopt BayesianOptimization nnvm MTuner webdnn easyengine gosl soot scikit-optimize DietPi faster incubator-kie-optaplanner search-engine-optimization react-ssr-optimization opticss wheels owl meshoptimizer MLBox JuMP.jl eaopt