multiobjective-optimization

#计算机科学#A PyTorch Library for Multi-Task Learning

#计算机科学#Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

A framework for single/multi-objective optimization with metaheuristics

jMetal: a framework for multi-objective optimization with metaheuristics

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

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

Evolutionary & genetic algorithms for Julia

syftr is an agent optimizer that helps you find the best agentic workflows for your budget.

Experimental design and (multi-objective) bayesian optimization.

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

#计算机科学#[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning

An implementation of NSGA-III in Python.

EvoMO is a GPU-accelerated library for evolutionary multiobjective optimization (EMO)

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

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

LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.

Spatial Containers, Pareto Fronts, and Pareto Archives

一个疫情背景下应急物资配送算法：用改进后的多目标粒子群优化（MOPSO）算法解决带有风险矩阵的多辆车配送旅行商问题（TSP）

Python library for parallel multiobjective simulation optimization

L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China