• DACE

  • Referenced in 134 articles [sw04715]
  • this approximation model as a surrogate for the computer model. The software also addresses...
  • ParEGO

  • Referenced in 42 articles [sw10968]
  • hypercube and updates a Gaussian processes surrogate model of the search landscape after every function...
  • SUMO

  • Referenced in 13 articles [sw12763]
  • Surrogate Modeling Toolbox (SUMO Toolbox) is a Matlab toolbox that automatically builds accurate surrogate models...
  • SO-I

  • Referenced in 5 articles [sw10100]
  • surrogate model algorithm for expensive nonlinear integer programming problems including global optimization applications. This paper ... presents the surrogate model based algorithm SO-I for solving purely integer optimization problems that...
  • MISO

  • Referenced in 3 articles [sw20541]
  • evaluations. Therefore, we use computationally cheap surrogate models to approximate the expensive objective function ... evaluated. We develop a general surrogate model framework and show how sampling strategies of well ... known surrogate model algorithms for continuous optimization can be modified for mixed-integer variables...
  • ooDACE

  • Referenced in 3 articles [sw12876]
  • data from computationally expensive simulation codes, surrogate modeling methods are firmly established as facilitators ... optimization. Kriging is a popular surrogate modeling technique used for the Design and Analysis...
  • MATSuMoTo

  • Referenced in 2 articles [sw20551]
  • MATSuMoTo: The MATLAB surrogate model toolbox for computationally expensive black-box global optimization problems. MATSuMoTo ... MATLAB Surrogate Model Toolbox for computationally expensive, black-box, global optimization problems that may have ... function, derivatives are not available. Hence, surrogate models are used as computationally cheap approximations ... challenges. MATSuMoTo offers various choices for surrogate models and surrogate model mixtures, initial experimental design...
  • mlrMBO

  • Referenced in 4 articles [sw19214]
  • flexible and comprehensive R toolbox for model-based optimization (MBO), also known as Bayesian optimization ... given objective function through a surrogate regression model. It is designed for both single...
  • RBFOpt

  • Referenced in 2 articles [sw28416]
  • which builds and iteratively refines a surrogate model of the unknown objective function...
  • pySOT

  • Referenced in 1 article [sw26653]
  • methods. We have implemented many different surrogate models, experimental designs, auxiliary problems (also known ... makes it easy to add new surrogate models, experimental designs, and auxiliary problems...
  • GPdoemd

  • Referenced in 1 article [sw26109]
  • design of experiments for model discrimination using Gaussian process surrogates. GPdoemd is an open-source ... model discrimination that uses Gaussian process surrogate models to approximate and maximise the divergence between...
  • DAKOTA

  • Referenced in 49 articles [sw05202]
  • components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization ... design and performance analysis of computational models on high performance computers...
  • iml

  • Referenced in 1 article [sw28966]
  • /10618600.2014.907095>, local models (variant of ’lime’) described by Ribeiro et. al (2016) , the Shapley Value ... /07-AOAS148> and tree surrogate models...
  • BATMAN

  • Referenced in 1 article [sw29121]
  • Batman stands for Bayesian Analysis Tool for Modelling and uncertAinty quaNtification. It is a Python ... physic and the sample, Surrogate Models (Gaussian process, Polynomial Chaos, RBF, scikit-learn’s regressors...
  • ELFI

  • Referenced in 1 article [sw26681]
  • several orders of magnitude by surrogate-modelling the distance. ELFI also has an inbuilt support...
  • GPMfit

  • Referenced in 2 articles [sw26717]
  • process modelling. Gaussian Process (GP) models are popular statistical surrogates used for emulating computationally expensive...
  • subselect

  • Referenced in 5 articles [sw06780]
  • assess the quality of variable subsets as surrogates for a full data set, in either ... context of a multivariate linear model, and (ii) search for subsets which are optimal under...
  • UQTk

  • Referenced in 2 articles [sw21917]
  • uncertainties through computational models, tools for sensitivity analysis, methods for sparse surrogate construction, and Bayesian...
  • iBATCGH

  • Referenced in 1 article [sw19388]
  • Through the specification of a measurement error model we relate the gene expression levels ... observed surrogate CGH measurement via a hidden Markov model. Selection of relevant associations is performed...
  • pyunicorn

  • Referenced in 3 articles [sw19314]
  • models for spatial networks, networks of interacting networks, node-weighted statistics or network surrogates. Additionally...