An enhanced analytical target cascading and Kriging model combined approach for multidisciplinary design optimization
type: Item
instance of: scholarly article
title: An enhanced analytical target cascading and Kriging model combined approach for multidisciplinary design optimization
zbMATH Open document ID: 1394.74136
DOI: 10.1155/2015/685958
author: Y. Aharonov
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: Multidisciplinary design optimization (MDO) has been applied widely in the design of complex engineering systems. To ease MDO problems, analytical target cascading (ATC) organizes MDO process into multilevels according to the components of engineering systems, which provides a promising way to deal with MDO problems. ATC adopts a coordination strategy to coordinate the couplings between two adjacent levels in the design optimization process; however, existing coordination strategies in ATC face the obstacles of complicated coordination process and heavy computation cost. In order to conquer this problem, a quadratic exterior penalty function (QEPF) based ATC (QEPF-ATC) approach is proposed, where QEPF is adopted as the coordination strategy. Moreover, approximate models are adopted widely to replace the expensive simulation models in MDO; a QEPF-ATC and Kriging model combined approach is further proposed to deal with MDO problems, owing to the comprehensive performance, high approximation accuracy, and robustness of Kriging model. Finally, the geometric programming and reducer design cases are given to validate the applicability and efficiency of the proposed approach.
Mathematics Subject Classification ID: 74P05
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 6926983
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/685958
OpenAlex ID: W1989779134
Wikidata QID: Q59118923
cites work: Q4890341
cites work: A survey of multidisciplinary design optimization methods in launch vehicle design
cites work: Biobjective optimization for analytical target cascading: optimality vs. achievability
cites work: An augmented Lagrangian relaxation for analytical target cascading using the alternating direction method of multipliers
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description: scientific article; zbMATH DE number 6926983