Extended, multi-agent and multi-objective (MaMoRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.

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

OptFrame - C++17 (and C++20) 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, etc.

FelooPy: Efficient & Feature-Rich Integrated Decision Environment

High-performance metaheuristics for optimization coded purely in Julia.

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

Evolutionary multi-objective optimization platform

Pareto Front Estimation Using Unit Hyperplane

A Julia package for solving multi-objective optimization problems

Generalized and Efficient Blackbox Optimization System

This repository provides practical implementations, examples, and insights into various optimization methods, making it easier to understand and apply these concepts.

GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.

Official public repository for the XtalOpt crystallographic multi-objective evolutionary algorithm

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

A PyTorch Library for Multi-Task Learning

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

A Dual Surrogate-based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems

High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction

[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization

[IEEE Transactions on Evolutionary Computation] Implementation of Subset-Selection-for-Evolutionary-Multi-Objective-Optimization