🎯 A comprehensive gradient-free optimization framework written in Python

C++ open-source parallel software for continuous and combinatorial optimization with metaheuristics.

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

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

Simulated annealing

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 serve as building blocks for tailoring metaheuristics. They were extracted from ten well-known metaheuristics in the literature.

Optimization framework based on swarm intelligence

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

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

Code for Dividing Rectangles Attack Multi-Objective Optimization

An R Package for Fitting Functional Models to 2-Dimensional Data

This repository gathers Continuous Optimization projects using R.

Local searches for continuous optimization implemented in C#