A genetic algorithms library in C++ for single- and multi-objective optimization.

An R package for multi/many-objective optimization with non-dominated genetic algorithms' family

Multi-objective optimisation framework in Rust

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

Making a Class Schedule Using a Genetic Algorithm with java

Making a Class Schedule Using a Genetic Algorithm

Making a Class Schedule Using a Genetic Algorithm with Python

This project is implemented by C#, and introduces a algorithm framework of MOEA, and some MOEA algorithms and multi-objective problems are provided.

NSGA-III: Non-dominated Sorting Genetic Algorithm, the Third Version — MATLAB Implementation

A proof-of-concept malware behaviour clustering system backed by a genetic algorithm.

NSGA-III algorithm modification with elitism in environment selection

R implementation of the Non-dominated Sorting Genetic Algorithm III for multi objective feature selection

An implementation of the NSGA-III algorithm in C++