A method for simulation based optimization using radial basis functions

From MaRDI portal
Publication:622606

DOI10.1007/s11081-009-9087-1zbMath1243.65068OpenAlexW2063874144MaRDI QIDQ622606

Stefan Jakobsson, Michael Patriksson, Johan Rudholm, Adam Wojciechowski

Publication date: 3 February 2011

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-009-9087-1




Related Items (23)

Integration of expert knowledge into radial basis function surrogate modelsARGONAUT: algorithms for global optimization of constrained grey-box computational problemsSurrogate‐based methods for black‐box optimizationGlobal optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFOA quasi-multistart framework for global optimization of expensive functions using response surface modelsEfficient solution of many instances of a simulation-based optimization problem utilizing a partition of the decision spaceUnnamed ItemGlobal optimization of expensive black box problems with a known lower boundIntegrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraintsOptimization of black-box problems using Smolyak grids and polynomial approximationsHigh-dimensional black-box optimization under uncertaintyMachine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniquesAn improved mode-pursing sampling method that balances global exploration and local exploitation based on krigingAESOP -- a numerical platform for aerodynamic shape optimizationCombustion engine optimization: a multiobjective approachKriging-sparse polynomial dimensional decomposition surrogate model with adaptive refinementA surrogate-based cooperative optimization framework for computationally expensive black-box problemsRBFOpt: an open-source library for black-box optimization with costly function evaluationsGlobal optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorptionEmbedding evolutionary strategy in ordinal optimization for hard optimization problemsAn Initialization Strategy for High-Dimensional Surrogate-Based Expensive Black-Box OptimizationA surrogate-based optimization method with RBF neural network enhanced by linear interpolation and hybrid infill strategyGOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration


Uses Software


Cites Work


This page was built for publication: A method for simulation based optimization using radial basis functions