Quilë
Quilë: C++ genetic algorithms scientific library - Published in JOSS (2023)
eckity
EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.
@syntest/analysis
Monorepo containing the framework and various core parts of the SynTest ecosystem
easyga
EasyGA is a python package designed to provide an easy-to-use Genetic Algorithm. The package is designed to work right out of the box, while also allowing the user to customize features as they see fit.
https://github.com/alan-turing-institute/p2lab-pokemon
A Python library for running genetic algorithms to optimize Pokemon teams!
GMSE
An R package for simulating Generalised Management Strategy Evaluation
modifiedga
Modified version of a genetic algorithm developed for optimization problems with correlated variables.
learning-representations-causal-inference
Code supplement for "Neuroevolutionary representations for learning heterogeneous treatment effects"
https://github.com/cicirello/optimize-ga-operators
Experiments for paper: Optimizing Genetic Algorithms Using the Binomial Distribution
https://github.com/cicirello/chips-n-salsa-examples
Example programs for usage of the Chips-n-Salsa library
hsevo
[AAAI-25] HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
ga-cal
Fortran software for automatically calibrating constitutive laws using Genetic Algorithms optimization.
BioGA
Optimize high-throughput genomic data analysis using genetic algorithms for efficient pattern discovery and feature selection.
org.cicirello
Code and experiment data from the paper: "Cycle Mutation: Evolving Permutations via Cycle Induction"
