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Structural and Multidisciplinary Optimization
Erschienen in: Structural and Multidisciplinary Optimization 5/2015

09.07.2015 | RESEARCH PAPER

Pareto front spacing with differential geometry in multidisciplinary systems

verfasst von: Craig Bakker, Geoffrey T. Parks

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 5/2015

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Abstract

Multidisciplinary Design Optimization, also known as MDO, deals with the optimization of complex but typically single-objective design problems. As such, it would be valuable to combine it with Multi-Objective Optimization (MOO). Within MOO, Weighted Sums (WS) is a standard solution method, but it may not produce a good spacing of solution points along the Pareto Front (PF). Using our differential geometry MDO framework, we present a technique for intelligently spacing out Pareto solutions produced with WS in a multidisciplinary MOO formulation. Following an initial demonstration, we present modifications to our method to handle ill-conditioning better, to produce fewer dominated points in PF refinement, and to use MOO solution methods other than WS.
Vorheriger Artikel Structural optimization of multibody system components described using level set techniques
Nächster Artikel Nonlinear multi-variable optimization of layered composites with nontraditional interfaces

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Metadaten
Titel
Pareto front spacing with differential geometry in multidisciplinary systems
verfasst von
Craig Bakker
Geoffrey T. Parks
Publikationsdatum
09.07.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 5/2015
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-015-1289-x

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