bads

Optimization tool

An optimization algorithm designed to fit computational models in the absence of gradient information or noisy objective functions.

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

GitHub

246 stars
15 watching
38 forks
Language: MATLAB
last commit: about 2 years ago
Linked from 1 awesome list

bayesian-optimizationlog-likelihoodmatlabnoiseless-functionsnoisy-functionsoptimization-algorithms

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
acerbilab/vbmc An approximate Bayesian inference method for fitting and evaluating complex computational models with limited resources. 219
hiroyuki-kasai/gdlibrary A collection of unconstrained optimization algorithms implemented in MATLAB 67
hiroyuki-kasai/sgdlibrary A collection of stochastic optimization algorithms for large-scale machine learning problems 221
nicolasboumal/manopt A Matlab toolbox for optimizing functions on geometric spaces defined by constraints or regularization terms 316
uts-ri/matlab-graph-optimization A Matlab-based optimization framework for nonlinear least squares problems 68
mazhar-ansari-ardeh/benchmarkfcns Provides benchmarking functions for mathematical optimization algorithms 67
rflamary/nonconvex-optimization A Matlab toolbox providing a generic solver for proximal gradient descent in convex and non-convex optimization problems with various regularization terms. 49
yalmip/yalmip A MATLAB toolbox for creating and solving optimization models 494
befelix/safeopt An algorithmic framework for optimizing performance measures with safety constraints using Bayesian optimization and Gaussian processes. 141
hiroyuki-kasai/sparsegdlibrary A collection of unconstrained optimization algorithms for sparse modeling in MATLAB 53
ethz-pes/multi_objective_optimization_matlab A MATLAB toolset for multi-objective optimization using genetic algorithms and other methods. 53
bimk/platemo An evolutionary multi-objective optimization platform that provides a comprehensive set of algorithms and benchmark problems for researchers and developers. 1,671
yelp/moe An optimization tool for finding parameters in complex systems with expensive or time-consuming evaluation processes. 1,308
performanceestimation/performance-estimation-toolbox An automated toolbox for performing worst-case analyses of first-order optimization methods in convex and nonconvex optimization. 53
cicirello/chips-n-salsa A comprehensive Java library of local search algorithms with customization and hybridization capabilities 60