A Free and Open Source Python Library for Multiobjective Optimization
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Updated
Oct 9, 2026 - Python
A Free and Open Source Python Library for Multiobjective Optimization
Python library for parallel multiobjective simulation optimization
MatDesign: a programming-free AI platform to predict and design materials
Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.
Python Multi-Objective Simulation Optimization: a package for using, implementing, and testing simulation optimization algorithms.
My python implementations of some genetic algorithms
This repository contains the implementation of the algorithms described in the paper "Rolling-Horizon Simulation Optimization For A Multi-Objective Biomanufacturing Scheduling Problem".
A "farm" of multiobjective benchmark problems exhibiting real-world structure and corresponding ParMOO solver scripts
A comprehensive Python implementation of MOEA/D (Multiobjective Evolutionary Algorithm based on Decomposition), a state-of-the-art algorithm for solving multiobjective optimization problems. This implementation is based on the seminal work by Zhang and Li (2007).
A suite of variable types and operators that extend the Platypus multi-objective optimization library (https://github.com/Project-Platypus/Platypus)
Sustainability of Machine Learning Models
Algoritmos de otimização contínua e construção de frentes de Pareto — Iniciação Científica (UFGD)
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