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

Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems

Multi-objective optimisation framework in Rust

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

Mirror - Genetics Algorithms and Genetic Programming library. https://genetics4j.org

Multi-objective Flexible Job Shop Scheduling Problem with transportation constraint solved with NSGA-II, VNS and improved initialisation

Neural architecture search for object detectors using non dominated sorting genetic algorithm and surrogate optimization

High-performance metaheuristics for optimization coded purely in Julia.

Implementation of NSGA-II in Python

Application of Biodiversity Statistical Indexes to Control the Diversity of Solutions in Multiobjective Genetic Algorithms

NSGA2 to design and optimize LSTM Autoencoder

An implementation of most used multi-objective algorithms using jmetal in python.

Code for the Non-Dominated Sorting Genatic Algorithm II (NSGA-II) used in my PhD.

FuzzyNSGA-II-Algorithm (Fuzzy adaptive optimisation method)

c++ implementation of NSGA2( non-dominated sorting genetic algorithm II)

Advanced Method of Optimization (2022 Spring)

A hybrid feature selection algorithm combining Filter based methods and a Wrapper method.

A multi-objective problem of Path Planning based on MOEA/D and NSGA-II