multiobjective-optimization

A PyTorch Library for Multi-Task Learning

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

jMetal: a framework for multi-objective optimization with metaheuristics

A framework for single/multi-objective optimization with metaheuristics

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

Evolutionary & genetic algorithms for Julia

Learning how to implement GA and NSGA-II for job shop scheduling problem in python

[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"

Spatial Containers, Pareto Fronts, and Pareto Archives

A very fast, 90% vectorized, NSGA-II algorithm in matlab.

A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)

Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)

🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

Genetic algorithms applied in Computer Fluid Dynamics for multiobjective optimization - Senior Thesis in Mechanical Engineering at the University of Vermont

Python library for parallel multiobjective simulation optimization

Multiobjective black-box optimization using gradient-boosted trees

"Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580

constrained/unconstrained multi-objective bayesian optimization package.

an implementation of NSGA-II in java

Experimental design and (multi-objective) bayesian optimization.