Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)

A lightweight, generic C++11 framework for evolutionary computation

Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research

Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia

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OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etc.

Optimization framework developed in Pytorch, allowing calibration, and joint optimization of optics and deep learning models.

ecr: Evolutionary Computation in R (version 2)

A generic and modular framework for building custom iterative algorithms in Julia

A derivative-free solver for general nonlinear optimization.

A curated list of awesome Operations Research (OR) resources.

The 'dwsimopt' is a Python library that automates DWSIM simulations for process optimization.

CENSO is a framework for global optimization of nonconvex, spline-constrained MINLP problems

Python platform for parallel Surrogate-Based Optimization

A framework to implement iterative algorithms

Python bindings for OptFrame C++ Functional Core

A Nonconvex Composite Optimization Library

Python framework for optimizing reinforcement learning models with GA

Optimization framework library fully written in C++