Publication
An optimization approach to generate accurate and efficient lookup tables for engineering applications
| dc.contributor.author | Magalhães, H. | |
| dc.contributor.author | Marques, F. | |
| dc.contributor.author | Liu, B. | |
| dc.contributor.author | Pombo, João | |
| dc.contributor.author | Flores, P. | |
| dc.contributor.author | Ambrósio, Jorge | |
| dc.contributor.author | Bruni, S. | |
| dc.date.accessioned | 2018-10-11T12:26:51Z | |
| dc.date.available | 2018-10-11T12:26:51Z | |
| dc.date.issued | 2018-09-14 | |
| dc.description.abstract | In a wide number of engineering applications, the interpolation of a lookup table (LUT) can substitute expensive calculations. The generation of a LUT consists of pre-calculating a set of quantities from a collection of points that covers the study domain where the interpolation is possible. Nevertheless, the selection of points where the exact calculation is performed is of utmost im-portance for the LUT size and accuracy. Thus, the goal of this paper is to provide a dedicated optimization tool for the generation of accurate and efficient LUT. Here, the domain of the LUT is structured by the so-called layers, in which, the thicknesses of each layer define the distance between pre-calculated points. The optimization problem consists of maximizing the layer thicknesses, that is, min-imizing the LUT size, such that the interpolation errors within the layer domain are kept under specified tolerances. Thus, a sequential design approach is applied to design each layer of the LUT until the layers cover the study domain. To achieve reliable LUT generations, a new optimization algorithm has been imple-mented to reach optimal layers with minimum iterations. The strategy proposed here is applied to generate a LUT to substitute a selected analytical function. The optimization procedures demonstrate not only the performance of the optimiza-tion algorithm, but also its convenience in the generation of multidimensional LUT. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | MAGALHÃES, H; [et al] – An optimization approach to generate accurate and efficient lookup tables for engineering applications. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. ISBN 978-3-319-97772-0. (2018), pp. 1446-1457 | pt_PT |
| dc.identifier.doi | https://doi.org/10.1007/978-3-319-97773-7_124 | pt_PT |
| dc.identifier.isbn | 978-3-319-97772-0 | |
| dc.identifier.isbn | 978-3-319-97773-7 | |
| dc.identifier.uri | http://hdl.handle.net/10400.21/8913 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer | pt_PT |
| dc.subject | Lookup table generation | pt_PT |
| dc.subject | Sequential optimal design | pt_PT |
| dc.subject | Diagonal search | pt_PT |
| dc.title | An optimization approach to generate accurate and efficient lookup tables for engineering applications | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | 17-19 September, 2018 - Lisboa, Portugal | |
| oaire.citation.endPage | 1457 | pt_PT |
| oaire.citation.startPage | 1446 | pt_PT |
| oaire.citation.title | EngOpt 2018 - 6th International Conference on Engineering Optimization | pt_PT |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |