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

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

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

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

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

(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]

🌳MultiLGBM🌳: A simple multi-objective regression example to show how to trade-off objectives on the Pareto front with a single LGBM model.

Advanced choice modeling with multidimensional utility representations.

Python bindings for OptFrame C++ Functional Core

A collection of handy functions for multi-objective optimization written in C with a python wrapper

A Memetic Procedure for Global Multi-Objective Optimization

MPaGE: Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization

Motif discovery for DNA sequences using multiobjective optimization and genetic programming.

A Framework for High-dimensional Pareto-optimal Front Visualization and Analytics

Currently a prototype implementation of Pareto local search algorithm in preparation for an upcoming project

(BSc Hons) Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems

This hosts the code of the WWW 2025 full paper "Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier"