Topic: continuous-optimization Goto Github
Some thing interesting about continuous-optimization
Some thing interesting about continuous-optimization
continuous-optimization,🎯 A comprehensive gradient-free optimization framework written in Python
User: 100
Home Page: https://100.github.io/Solid/
continuous-optimization,Project in the field of optimisation, in the context of a course from a master of mathematics, at Sorbonne University.
User: alexandremarin
continuous-optimization,Code for Dividing Rectangles Attack Multi-Objective Optimization
User: ash-aldujaili
continuous-optimization,A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks
Organization: bimk
continuous-optimization,Local searches for continuous optimization implemented in C#
User: chen0040
continuous-optimization,Optimization framework based on swarm intelligence
User: chen0040
continuous-optimization,(ancient german = improving, rearranging, rendering benign)
User: cherusk
continuous-optimization,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
User: cvanaret
continuous-optimization,PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
User: evolutionary-intelligence
Home Page: https://pypop.readthedocs.io/
continuous-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.
User: exajobs
continuous-optimization,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.
User: jcrvz
continuous-optimization,Numerical optimisation methods including the cauchy point, dogleg point, line search and steepest descent.
User: joe-lynch
continuous-optimization,A simple, bare bones, implementation of simulated annealing optimization algorithm.
User: nathanrooy
continuous-optimization,Predmet: Nelinearno programiranje i evolutivni algoritmi Tema: Genetski algoritam, problem optimizacije kontinualnih funkcija Tri funkcije su: (Ackley, Griewank, Michalewicz )
User: njmarko
continuous-optimization,Javascript implementations of some of the main metaheuristic algorithms for bound constraint single objective continuous optimization problems.
User: osmangokalp
continuous-optimization,Adaptive Multi-Population Optimization Algorithm
User: rayzxli
continuous-optimization,An R Package for Fitting Functional Models to 2-Dimensional Data
User: thomasweise
continuous-optimization,Estimation of Distribution algorithms Python package
User: vicenteperezsoloviev
Home Page: https://pypi.org/project/EDAspy/
continuous-optimization,C++ platform to perform continuous and combinatorial optimization metaheuristics with parallelism support for acceleration.
User: willtl
continuous-optimization,Yriser is an Open Source FinOps tool to perform AWS tagging best practices, tagging strategy, continuous adjustments in cloud optimization.
Organization: yris-ops
Home Page: https://www.docs.yriser.com
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