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.

A MathOptInterface Optimizer to solve JuMP models using GAMS

A lightweight framework for writing genetic algorithms in Julia

A Julia interface to the GNU Linear Programming Kit

DEPRECATED: Interface between the GLPK.jl wrapper and MathProgBase.jl

A Julia interface to the Gurobi Optimizer

A Julia interface to the HiGHS solver

Julia interface to the HSL Mathematical Software Library

Interior point solver for general convex conic optimization problems

Hyperparameter optimization in Julia.

Combinatorial optimization layers for machine learning pipelines

An intuitive modeling interface for infinite-dimensional optimization problems.

Implementation of Differential Evolution with optional custom predictors

Rigorous global optimisation in pure Julia

A Julia interface to the Ipopt nonlinear solver

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A prototype JuMP extension for geometric programming

Julia for Mathematical Programming - extension for Robust Optimization

A Julia interface to the Artelys Knitro solver

Dense and Sparse Least Squares Optimization

Linear Operators for Julia

Julia tools for building simple variational Bayes models with JuMP

Line search methods for optimization and root-finding

Julia implementation of predictors and loss functions for empirical risk minimization

Least squares solver in Julia

Simple curve fitting in Julia

A solver for nonlinear programming

MADS: Model Analysis & Decision Support

🏔️Manopt. jl – Optimization on Manifolds in Julia

Read and write a variety of mathematical optimization file formats

A data structure for mathematical optimization problems

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

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

＠memoize macro for Julia

High-performance metaheuristics for optimization coded purely in Julia.

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

Simulated Method of Moments for Julia

Interface to the Mosek solver in Julia

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

A Julia package for solving multi-objective optimization problems