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,Memetic algorithms for continuous optimization
Organization: bio4res
Home Page: http://bio4res.lcc.uma.es
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 optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, 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 (evolutionary algorithms/swarm-based optimizers/pattern search/...). [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++ lib to perform continuous and combinatorial optimization metaheuristics with parallelism support.
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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