A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
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Updated
Aug 17, 2019 - MATLAB
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
This repo implements AlphaDOGS algorithm to optimize the objective function computed from a time-averaged statistics.
Optimization using MPI parallel Latin hypercube sampling and BOBYQA
The Catla Project
Sampling based Model Predictive Control package for Model-Based RL research
Surrogate model library for Derivative-Free Optimization
Nevergrad Optimizer Benchmarking for 3D Performance Capture
Algoritmos de métodos numéricos, se pueden encontrar métodos como búsqueda de raíces, métodos de derivación, integración, métodos para encontrar eigenvalores, etc.
This repository contains the official PyTorch implementation of the paper: "Learning Discrete Structured VAE using NES".
Serial and Parallel Codes for the Global Optimization Algorithm DIRECT
A simple implementation of SPSA with automatic learning rate tuning
Derivative-free solver for the minimization of a function over the convex hull of a set of vectors
StoMADS algorithm for stochastic blackbox optimization
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
A reimplementation of the derivative-free global optimization algorithm GLIS adjusted for the needs of the team
Object-Orientated Derivative-Free Optimisation
A consensus-based optimization methods for saddle point problems (CBO-SP)
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