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

Experimental design and (multi-objective) bayesian optimization.

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

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

[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)

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

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

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

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

Capacitated vehicle routing problem implemented in python using DEAP package. Non dominated sorting Genetic algorithm is used to solve Multiobjective problem of minimizing Total distance travelled by all vehicles and minimizing total number of vehicles at same time.

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

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