Identification of quasi-optimal regions in the design space using surrogate modelingReport as inadecuate




Identification of quasi-optimal regions in the design space using surrogate modeling - Download this document for free, or read online. Document in PDF available to download.

(2013)ENGINEERING WITH COMPUTERS.29(2).p.127-138 Mark abstract The use of Surrogate Based Optimization (SBO) is widely spread in engineering design to find optimal performance characteristics of expensive simulations (forward analysis: from input to optimal output). However, often the practitioner knows a priori the desired performance and is interested in finding the associated input parameters (reverse analysis: from desired output to input). A popular method to solve such reverse (inverse) problems is to minimize the error between the simulated performance and the desired goal. However, there might be multiple quasi-optimal solutions to the problem. In this paper, the authors propose a novel method to efficiently solve inverse problems and to sample Quasi-Optimal Regions (QORs) in the input (design) space more densely. The development of this technique, based on the probability of improvement criterion and kriging models, is driven by a real-life problem from bio-mechanics, i.e., determining the elasticity of the (rabbit) tympanic membrane, a membrane that converts acoustic sound wave into vibrations of the middle ear ossicular bones.

Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-2996964



Author: Ivo Couckuyt , Jef Aernouts, Dirk Deschrijver , Filip De Turck and Tom Dhaene

Source: https://biblio.ugent.be/publication/2996964



DOWNLOAD PDF




Related documents