A framework for single/multi-objective optimization with metaheuristics

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Evolutionary & genetic algorithms for Julia

[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning

A very fast, 90% vectorized, NSGA-II algorithm in matlab.

Spatial Containers, Pareto Fronts, and Pareto Archives

OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etc.

pfevaluator: A library for evaluating performance metrics of Pareto fronts in multiple/many objective optimization problems

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

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

Genetic Algorithm (GA) for a Multi-objective Optimization Problem (MOP)

Multi-Objective PSO (MOPSO) in MATLAB

🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

Minimal Policy Search Toolbox

Non-dominated Sorting Genetic Algorithm II (NSGA-II) in MATLAB

(Code) Multi-objective Sparrow Search Optimization for Task Scheduling in Fog-Cloud-Blockchain Systems

Implementation of NSGA-II in Python

Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]

A tutorial for the famous non dominated sorting genetic algorithm II, multiobjective evolutionary algorithm.