Metaheuristics — Peer-reviewed • Rank 13.1 • Science 95%

Metaheuristics: A Julia Package for Single- and Multi-Objective Optimization - Published in JOSS (2022)

Moead-framework — Peer-reviewed • Rank 9.2 • Science 95%

Moead-framework: a modular MOEA/D Python framework - Published in JOSS (2022)

mcMST — Peer-reviewed • Rank 9.1 • Science 93%

mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem - Published in JOSS (2017)

grapherator — Peer-reviewed • Rank 8.2 • Science 93%

grapherator: A Modular Multi-Step Graph Generator - Published in JOSS (2018)

pydiffgame • Rank 8.2 • Science 54%

PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems

https://github.com/altaris/noisy-moo • Rank 5.0 • Science 36%

A wrapper-based framework for pymoo problem modification.

morepo-tuyttens00 • Rank 0.0 • Science 18%

evolver • Science 57%

Evolver is a tool based on the formulation of the automatic configuration and design of multi-objective metaheuristics as a multi-objective optimization problem.

src • Science 18%

lua code for a multi-objective optimizer

shortr • Science 54%

A little lab of learning algorithms (in LUA). Less XAI, but better

syne-tune • Science 54%

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

https://github.com/critical-infrastructure-systems-lab/multi-objective-feature-selection • Science 23%

MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets

morepo • Science 31%

Multi-Objective Optimization Repository

mgoal • Science 41%

Multi-goal rule generation