multi-objective

Farama-Foundation/MO-Gymnasium

Multi-objective Gymnasium environments for reinforcement learning

yunshengtian/AutoOED

AutoOED: Automated Optimal Experimental Design Platform

dietmarwo/fast-cma-es

A Python 3 gradient-free optimization library

yconst/YCML

A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)

mit-gfx/PGMORL

[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

yunshengtian/DGEMO

[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

nathanrooy/landscapes

A dependency free library of standardized optimization test functions written in pure Python.

EmilioSchi/Niched-Pareto-Genetic-Algorithm-NPGA

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

RealVNF/DeepCoord

DeepCoord: Self-Learning Network and Service Coordination Using Deep Reinforcement Learning

moead-framework/framework

MOEA/D is a general-purpose algorithm framework. It decomposes a multi-objective optimization problem into a number of single-objective optimization sub-problems and then uses a search heuristic to optimize these sub-problems simultaneously and cooperatively.

awilliea/Risk-based_RL_for_Optimal_Trading_Execution

jbussemaker/SBArchOpt

Surrogate-Based Architecture Optimization toolbox

HunterResearch/PyMOSO

Python Multi-Objective Simulation Optimization: a package for using, implementing, and testing simulation optimization algorithms.

kravitsjacob/paxplot

Paxplot is a Python visualization library for parallel coordinate plots based on matplotlib.

fazaghifari/BayesianOptTools

Bayesian Optimization and Uncertainty Analyses Tools

LucasAlegre/sfols

Code for the paper Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer - ICML 2022

dietmarwo/fcmaes-java

A Java gradient-free optimization library

hustnn/GeoSpark

Multi-objective Optimization of Apache Spark in Geo-distributed Datacenters

wilrop/moqups

An algorithm to calculate all pure strategy Nash equilibria in multi-objective games with quasiconvex utility functions

bala4krish/Multi-Objective-Design-using-SQP

Multi-Objective Design using Sequential Quadratic programming

relund/gMOIP

2D and 3D plots of linear/integer programming models in R

amirbalef/PS_MOMAB

Multi-Objective Multi-Armed Bandit

doesburg11/MOMARL

Multi-Objective Multi Agent Reinforcement Learning (MOMARL) experiments.

MajidAbdolshah/PRaDA_BO

Multi-objective Bayesian optimisation framework.

thomasWeise/BBDOB_W_Model

The W-Model, a tunable Black-Box Discrete Optimization Benchmarking (BB-DOB) problem, implemented for the BB-DOB@GECCO Workshop.

wilrop/ramo

Algorithms for computing or learning equilibria in multi-objective games

baiyan89/Line_Spectral_Estimation

Code for Paper "Gridless Evolutionary Approach for Line Spectral Estimation With Unknown Model Order"

CPS-VIDA/discrete-world

Discrete-world as the name says

danielcorreia96/MOTSD

Code for "A Multi-Objective Test Selection Tool using Test Suite Diagnosability"

Haimrich/medea

MEDEA: A Multi-objective Evolutionary Approach to DNN Hardware Mapping

liannekiarra-fullstackdevwebport/AcademicDissertation

(Completed) Machine Learning and Multi-Objective Evolutionary Algorithms to Solve Real World Engineering Problems (MultiObjectiveOptimisation and ML)

rodrigofvc/cmibaco-lre-mogenconvrp

The cMIBACO implementation for lightly robust solutions in MOGenConVRP under uncertainty.

Saeednikdel/learning-aided-evolution-for-optimization

single & multi objective optimiztion

Haimrich/moham

Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-based Accelerators

lamda-bbo/BPODC

Official implementation of PPSN'24 paper "Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints"