🎯 A comprehensive gradient-free optimization framework written in Python

A next-gen solver for nonconvex optimization. Uno is a Lagrange-Newton solver that unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...).

Estimation of Distribution algorithms Python package

C++ lib to perform continuous and combinatorial optimization metaheuristics with parallelism support.

A simple, bare bones, implementation of simulated annealing optimization algorithm.

Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics. Such an approach is powered by a strategy based on Simulated Annealing. Also, several search operators ser…

A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks

Adaptive Multi-Population Optimization Algorithm

Predmet: Nelinearno programiranje i evolutivni algoritmi Tema: Genetski algoritam, problem optimizacije kontinualnih funkcija Tri funkcije su: (Ackley, Griewank, Michalewicz )

Javascript implementations of some of the main metaheuristic algorithms for bound constraint single objective continuous optimization problems.

Yriser is an Open Source FinOps tool to perform AWS tagging best practices, tagging strategy, continuous adjustments in cloud optimization.

An ongoing curated list of awesome frameworks, important books, articles, talks, libraries, learning tutorials, best practices and technical resources about List of Continuous Integration & Continuous Delivery Services.

Optimization framework based on swarm intelligence

(ancient german = improving, rearranging, rendering benign)

Local searches for continuous optimization implemented in C#

Project in the field of optimisation, in the context of a course from a master of mathematics, at Sorbonne University.

Numerical optimisation methods including the cauchy point, dogleg point, line search and steepest descent.

Memetic algorithms for continuous optimization

Code for Dividing Rectangles Attack Multi-Objective Optimization