multi-objective-optimization

There are 28 repositories under multi-objective-optimization topic.

anyoptimization / pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
cmaes differential-evolution genetic-algorithm multi-objective-optimization nsga2 nsga3 optimization pso
Language:Python 2697
median-research-group / LibMTL
A PyTorch Library for Multi-Task Learning
deep-learning mmoe mtl multi-domain-learning multi-objective-optimization multi-task-learning multiobjective-optimization multitask-learning ple python pytorch
Language:Python 2448
BIMK / PlatEMO
Evolutionary multi-objective optimization platform
evolutionary-algorithms matlab multi-objective-optimization
Language:MATLAB 1981
EMI-Group / evox
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
black-box-optimization brax derivative-free-optimization evolutionary-algorithms evolutionary-computation evolutionary-optimization evolutionary-reinforcement-learinig evolutionary-strategies gpu-acceleration gradient-free-optimization gym jax metaheuristics multi-objective-optimization neuroevolution population-based-optimization pytorch ray
Language:Python 1434
esa / pagmo2
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
optimization optimization-algorithms optimization-methods optimization-tools parallel-computing parallel-processing evolutionary-algorithms multi-objective-optimization stochastic-optimizers genetic-algorithm metaheuristics evolutionary-strategy artificial-intelligence pagmo python3 python
Language:C++ 895
PKU-DAIR / open-box
Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)
automatic-machine-learning bayesian-optimization blackbox-optimization constrained-optimization distributed-systems hyper-parameter-optimization multi-objective-optimization saas
Language:Python 428
syne-tune / syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
hyperparameter-optimization machine-learning multi-objective-optimization hyperparameter-tuning bayesian-optimization neural-architecture-search
Language:Python 417
otto-de / recsys-dataset
🛍 A real-world e-commerce dataset for session-based recommender systems research.
benchmark dataset e-commerce machine-learning otto recommender-system session-based recommendations kaggle multi-objective-optimization recommendation-system recsys
Language:Python 353
jmejia8 / Metaheuristics.jl
High-performance metaheuristics for optimization coded purely in Julia.
optimization multi-objective-optimization differential-evolution simulated-annealing pso nsga2 constrained-optimization hypervolume decision-making
Language:Julia 287
TorchJD / torchjd
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
deep-learning jacobian-descent multi-objective-optimization multi-task-learning multiobjective-optimization multitask-learning optimization python pytorch torch
Language:Python 275
lmarti / evolutionary-computation-course
Jupyter/IPython notebooks about evolutionary computation.
evolutionary-algorithms genetic-algorithm ipython-notebook multi-objective-optimization
Language:Jupyter Notebook 255
XuhanLiu / DrugEx
Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology
deep-learning multi-objective-optimization graph-transformer reinforcement-learning cheminformatics
Language:Python 215
kevin031060 / RL_TSP_4static
Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
deep-reinforcement-learning drl neural-combinatorial-optimization multi-objective-optimization
Language:Python 180
mikelzc1990 / nsganetv2
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
auto-ml evolutionary-algorithms multi-objective-optimization neural-architecture-search
Language:Python 158
hav4ik / Hydra
Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
deep-learning multi-task-learning neural-architecture-search pytorch multi-objective-optimization
Language:Python 149
AutoOED
yunshengtian / AutoOED
AutoOED: Automated Optimal Experimental Design Platform
optimal-experimental-design multi-objective bayesian-optimization open-source-software experiment-automation multi-objective-optimization pareto-optimality asynchronous
Language:Python 145
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 neural-architecture-search evolutionary-computation nasbench
Language:Python 135
Eric-Bradford / TS-EMO
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
bayesian-optimization machine-learning black-box-optimization gaussian-processes matlab expensive-to-evaluate-functions kriging surrogate-based-optimization thompson-sampling spectral-sampling genetic-algorithms multi-objective-optimization
Language:MATLAB 103
ppgaluzio / MOBOpt
Multi-objective Bayesian optimization
multi-objective-optimization bayesian-optimization optimization optimization-algorithms
Language:Python 95
optframe / optframe
OptFrame - C++17/C++20/C++23 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, etMu
metaheuristics vns ils travelling-salesman-problem timetabling heuristics optimization optimization-framework optimization-tools genetic-algorithm genetic-programming best-improvement first-improvement multi-improvement tabu-search vehicle-routing-problem multi-objective-optimization pareto-front nsga-ii
Language:C++ 89
Baijiong-Lin / Awesome-Multi-Objective-Deep-Learning
A comprehensive list of gradient-based multi-objective optimization algorithms in deep learning.
multi-objective-learning multi-objective-optimization multi-task-learning multitask-learning
86
thomas-young-2013 / open-box
Generalized and Efficient Blackbox Optimization System.
automatic-machine-learning bayesian-optimization blackbox-optimization constrained-optimization hyperparameter-tuning knobs-tuning multi-objective-optimization
Language:Python 83
jump-dev / MultiObjectiveAlgorithms.jl
A Julia package for solving multi-objective optimization problems
algorithm julia jump-jl multi-objective-optimization optimization
Language:Julia 77
Swiggy / Moo-GBT
Library for Multi-objective optimization in Gradient Boosted Trees
machine-learning machine-learning-algorithms multi-objective-optimization constrained-optimization gradient-boosted-trees
Language:Python 76
garlicdevs / Fruit-API
A Universal Deep Reinforcement Learning Framework
reinforcement-learning reinforcement-learning-algorithms multiplayer-game deep-reinforcement-learning deep-learning multi-agent-reinforcement-learning multi-agent multi-objective-optimization human games environment arcade-learning-environment atari actor-critic-algorithm actor-critic policy-gradients human-in-the-loop
Language:Python 71
tommyod / paretoset
Compute the Pareto (non-dominated) set, i.e., skyline operator/query.
optimization data-mining multi-objective-optimization data-science skyline-query pandas datascience
Language:Jupyter Notebook 68
EPOSearch
dbmptr / EPOSearch
Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
multi-objective-optimization multi-task-learning deep-neural-networks pareto-optimal-solutions
Language:Python 65
AnjieCheng / awesome-multi-objective-optimization
A curated list of awesome multi-objective optimization research resources.
survey multi-objective-optimization
64
informarte / yuck
Yuck is a local-search constraint solver with FlatZinc interface
optimization flatzinc constraint-solver minizinc multi-objective-optimization hierarchical-optimization vehicle-routing
Language:Scala 61
ethz-pes / multi_objective_optimization_matlab
MATLAB Tool for Multi-Objective Optimization
optimization pareto multi-objective-optimization matlab genetic-algorithm
Language:MATLAB 60
ltlhuuu / PSEC
[ICLR 2025] The offical implementation of "PSEC: Skill Expansion and Composition in Parameter Space", a new framework designed to facilitate efficient and flexible skill expansion and composition, iteratively evolve the agents' capabilities and efficiently address new challenges
continual-learning decision-making fine-tuning large-language-models lora pretrained-models reinforcement-learning robotics transfer-learning parameter-efficient-fine-tuning imitation-learning multi-objective-optimization offline-reinforcement-learning
Language:Python 60
avkhimen / Electric_Vehicle_Charging_Simulation
This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under conditions of uncertain commitment of EV owners. The problem is modelled as a multi-objective multi-agent cooperative game. Project is part of fulfillment criteria for ECE 730 course at the University of Alberta.
cooperative-game multi-agent-reinforcement-learning multi-objective-optimization q-learning vehicle-to-grid
Language:Python 55
hecoding / Pac-Man
Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)
pac-man pacman artificial-intelligence evolutionary-computation genetic-programming grammatical-evolution multi-objective-optimization decision-trees
Language:Java 55
PyDiffGame
krichelj / PyDiffGame
PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems
control-theory riccati-equation differential-game quadrotor multi-objective-optimization matrix-equations differential-equations game-theory bellman-equation hamiltonian pontryagin-maximum-principle hamilton-jacobi-bellman dynamical-systems nash-equilibrium artificial-intelligence-algorithms numerical-methods inverted-pendulum optimization-algorithms object-oriented-programming computer-science
Language:Python 55
LFhase / PAIR
[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
causal-inference domain-generalization invariant-learning model-selection multi-objective-optimization optimization out-of-distribution-generalization
Language:Jupyter Notebook 53
mahdims / Branch-and-price-
This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function
vehicle-routing-problem branch-and-bound branch-and-price column-generation tabu-search grasp integer-programming linear-programming or-tools tsp travelling-salesman-problem orienteering-problem python3 decomposition mathematical-modelling vrp multi-objective-optimization
Language:Python 53