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multi-objective-optimization

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anyoptimization /pymoo

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

optimization genetic-algorithm multi-objective-optimization differential-evolution pso nsga2 cmaes nsga3

UpdatedJul 2, 2025
Python

median-research-group /LibMTL

A PyTorch Library for Multi-Task Learning

python deep-learning pytorch multi-objective-optimization multiobjective-optimization mtl multi-task-learning ple multitask-learning mmoe multi-domain-learning

UpdatedMay 14, 2025
Python

BIMK /PlatEMO

Evolutionary multi-objective optimization platform

matlab evolutionary-algorithms multi-objective-optimization

UpdatedApr 14, 2025
MATLAB

esa /pagmo2

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

python optimization genetic-algorithm parallel-computing python3 artificial-intelligence evolutionary-algorithms multi-objective-optimization optimization-methods optimization-tools optimization-algorithms parallel-processing evolutionary-strategy stochastic-optimizers metaheuristics pagmo

UpdatedJun 26, 2025
C++

EMI-Group /evox

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

neuroevolution pytorch gym gpu-acceleration evolutionary-algorithms multi-objective-optimization ray black-box-optimization evolutionary-computation evolutionary-strategies metaheuristics jax evolutionary-optimization derivative-free-optimization gradient-free-optimization population-based-optimization brax evolutionary-reinforcement-learinig

UpdatedJul 11, 2025
Python

PKU-DAIR /open-box

Generalized and Efficient Blackbox Optimization System

distributed-systems saas constrained-optimization multi-objective-optimization bayesian-optimization hyper-parameter-optimization blackbox-optimization automatic-machine-learning

UpdatedOct 17, 2024
Python

syne-tune /syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

machine-learning hyperparameter-optimization multi-objective-optimization bayesian-optimization hyperparameter-tuning neural-architecture-search

UpdatedJul 11, 2025
Python

otto-de /recsys-dataset

🛍 A real-world e-commerce dataset for session-based recommender systems research.

recommendations benchmark machine-learning kaggle dataset recommendation-system e-commerce recsys recommender-system multi-objective-optimization otto session-based

UpdatedMay 14, 2025
Python

jmejia8 /Metaheuristics.jl

High-performance metaheuristics for optimization coded purely in Julia.

optimization decision-making constrained-optimization simulated-annealing multi-objective-optimization differential-evolution pso nsga2 hypervolume

UpdatedApr 1, 2025
Julia

lmarti /evolutionary-computation-course

Jupyter/IPython notebooks about evolutionary computation.

genetic-algorithm ipython-notebook evolutionary-algorithms multi-objective-optimization

UpdatedMay 10, 2017
Jupyter Notebook

TorchJD /torchjd

Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).

python deep-learning optimization torch pytorch multi-objective-optimization multiobjective-optimization multi-task-learning multitask-learning jacobian-descent

UpdatedJul 12, 2025
Python

XuhanLiu /DrugEx

Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology

reinforcement-learning deep-learning cheminformatics multi-objective-optimization graph-transformer

UpdatedJul 6, 2023
Python

kevin031060 /RL_TSP_4static

Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

deep-reinforcement-learning multi-objective-optimization drl neural-combinatorial-optimization

UpdatedJun 8, 2020
Python

mikelzc1990 /nsganetv2

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

evolutionary-algorithms multi-objective-optimization auto-ml neural-architecture-search

UpdatedApr 15, 2022
Python

hav4ik /Hydra

Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.

deep-learning pytorch multi-objective-optimization multi-task-learning neural-architecture-search

UpdatedJun 3, 2019
Python

AutoOED

yunshengtian /AutoOED

AutoOED: Automated Optimal Experimental Design Platform

asynchronous multi-objective-optimization multi-objective bayesian-optimization pareto-optimality open-source-software optimal-experimental-design experiment-automation

UpdatedJul 23, 2023
Python

EMI-Group /evoxbench

Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.

evolutionary-algorithms multi-objective-optimization evolutionary-computation neural-architecture-search nasbench

UpdatedFeb 28, 2025
Python

Eric-Bradford /TS-EMO

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

machine-learning matlab thompson-sampling multi-objective-optimization genetic-algorithms black-box-optimization gaussian-processes bayesian-optimization kriging expensive-to-evaluate-functions surrogate-based-optimization spectral-sampling

UpdatedJun 19, 2020
MATLAB

ppgaluzio /MOBOpt

Multi-objective Bayesian optimization

optimization multi-objective-optimization bayesian-optimization optimization-algorithms

UpdatedApr 14, 2023
Python

thomas-young-2013 /open-box

Generalized and Efficient Blackbox Optimization System.

constrained-optimization multi-objective-optimization bayesian-optimization hyperparameter-tuning blackbox-optimization automatic-machine-learning knobs-tuning

UpdatedFeb 21, 2023
Python

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