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Structural and Multidisciplinary Optimization
Erschienen in: Structural and Multidisciplinary Optimization 1/2011

01.01.2011 | Research Paper

On the development of Bi-Level Integrated System Collaborative Optimization

verfasst von: Min Zhao, Weicheng Cui

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 1/2011

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Abstract

Bi-Level Integrated System Collaborative Optimization (BLISCO) is a new multidisciplinary design optimization (MDO) method based on Bi-Level Integrated System Synthesis (BLISS) and Collaborative Optimization (CO). The key ideas of BLISCO are to replace compatibility constraint with the sum of coupled outputs as an integrated objective of subsystems and to decompose design variables into system design variables and subsystem design variables, while maintaining the collaborative mechanism of CO. One mathematical example and two engineering problems are used to test the effectiveness of BLISCO under the platform of iSIGHTTM. Results from the test cases show that BLISCO has satisfactory convergence, accurate result and reliable robustness.
Vorheriger Artikel Natural frequency and buckling optimization of laminated hybrid composite plates using genetic algorithm and simulated annealing
Nächster Artikel Discrete optimum design of truss structures using artificial bee colony algorithm

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Metadaten
Titel
On the development of Bi-Level Integrated System Collaborative Optimization
verfasst von
Min Zhao
Weicheng Cui
Publikationsdatum
01.01.2011
Verlag
Springer-Verlag
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 1/2011
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-010-0536-4

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