There are 0 repository under continuous-optimization topic.
🎯 A comprehensive gradient-free optimization framework written in Python
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
A next-gen solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT
Estimation of Distribution algorithms Python package
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 serve as building blocks for tailoring metaheuristics. They were extracted from ten well-known metaheuristics in the literature.
A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks
Predmet: Nelinearno programiranje i evolutivni algoritmi Tema: Genetski algoritam, problem optimizacije kontinualnih funkcija Tri funkcije su: (Ackley, Griewank, Michalewicz )
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.
Javascript implementations of some of the main metaheuristic algorithms for bound constraint single objective continuous optimization problems.
Local searches for continuous optimization implemented in C#
(ancient german = improving, rearranging, rendering benign)
Project in the field of optimisation, in the context of a course from a master of mathematics, at Sorbonne University.
Optimization framework based on swarm intelligence
Numerical optimisation methods including the cauchy point, dogleg point, line search and steepest descent.
Code for Dividing Rectangles Attack Multi-Objective Optimization
An R Package for Fitting Functional Models to 2-Dimensional Data