A JuMP extension to use parameter in constraints RHS

Foundational tooling for handling collections of parameters in models

Parallel implementation of Genocop - a genetic algorithm for numerical optimization problems with linear constraints

A solver for mixed-integer convex optimization

Julia interface for OSQP: The Operator Splitting QP Solver

OptimKit: A blissfully ignorant Julia package for gradient optimization

Julia interface to COIN-OR Optimization Services https://projects.coin-or.org/OS

Optimization Problems for Julia

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Optimisers.jl defines many standard optimisers and utilities for learning loops.

Optimal transport algorithms for Julia

Optimization functions for Julia

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

Julia interface to the NOMAD blackbox optimization software

NODAL is an Open Distributed Autotuning Library in Julia

Data Structures for Optimization Models

A Julia interface to the NLopt nonlinear-optimization library

WIP for new optimizer for julia base

High-fidelity orbit determination and propagation for Near-Earth Objects, in Julia

Munkres algorithm for the optimal assignment problem

Multistart optimization methods in Julia.

A Julia package for solving multi-objective optimization problems

MultiJuMP enables the user to easily run multiobjective optimisation problems and generate Pareto fronts.

Interface to the Mosek solver in Julia

Simulated Method of Moments for Julia

Find all minima in a bounded domain for a differentiable function.

High-performance metaheuristics for optimization coded purely in Julia.

＠memoize macro for Julia

Sums-of-Squares optimization in Julia, powered by JuMP

DEPRECATED: Solver-independent functions (i.e. linprog and mixintprog) and low-level interface for Mathematical Programming

A data structure for mathematical optimization problems

Read and write a variety of mathematical optimization file formats

🏔️Manopt. jl – Optimization on Manifolds in Julia

MADS: Model Analysis & Decision Support

A solver for nonlinear programming

Simple curve fitting in Julia

Least squares solver in Julia

Julia implementation of predictors and loss functions for empirical risk minimization

Line search methods for optimization and root-finding

Julia tools for building simple variational Bayes models with JuMP