Top 96 optimization-algorithms open source projects

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

A genetic algorithm implementation in python

A JavaScript library to allocate and optimize financial portfolios.

A metaheuristic optimization framework

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.

Iterated Racing for Automatic Algorithm Configuration

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Optimized implementation of suffix tree in python using Ukkonen's algorithm.

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

Supported highly optimized and flexible genetic algorithm package for python

Some lecture notes of Operations Research (usually taught in Junior year of BS) can be found in this repository along with some Python programming codes to solve numerous problems of Optimization including Travelling Salesman, Minimum Spanning Tree and so on.

Derivative-Free Optimization Method for Global Optimization (C++)

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

This package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.

Wolfram Language interface to the Gurobi numerical optimization library

Powell's Derivative-Free Optimization solvers

Matlab library for gradient descent algorithms: Version 1.0.1

Tensorflow implementation of preconditioned stochastic gradient descent

sopt:A simple python optimization library

Making your benchmark of optimization algorithms simple and open

PyTorch implementations of recent optimization algorithms for deep learning.

Sample Code Collection of Nature-Inspired Computational Methods

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

A SciPy compatible super fast Python implementation for Particle Swarm Optimization.

An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers

A collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#

Simulated Dual Annealing for python and benchmarks

A parallel branch-and-bound engine for Python. (https://pybnb.readthedocs.io/)

Global optimization algorithms written in C++