Multi-objective optimization based on the integration of Linear Physical Programming within Analytical Target Cascading

Ting Ting Wang*, Xiao Kai Chen, Yi Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The large-scale complex system of the practical engineering design always contains multiply optimization objectives and multiply disciplines. Aiming at the large-scale system Multidisciplinary design optimization (MDO) design problem with the serious conflicts between the different design objectives, we describe the integration of Linear Physical Programming within Analytical Target Cascading framework in this paper. The proposed framework would enable designers to formulate multiple system-level objectives in terms of physically meaningful parameters, and would hierarchically decompose the multilevel system into several small and more manageable subsystems for saving computational cost. A mathematical example using MDO method demonstrated the proposed framework.

Original languageEnglish
Title of host publicationProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Pages2286-2289
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, China
Duration: 15 Oct 201117 Oct 2011

Publication series

NameProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Volume4

Conference

Conference2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Country/TerritoryChina
CityShanghai
Period15/10/1117/10/11

Keywords

  • Analytical Target Cascading
  • MDO
  • linear physical programming
  • multi-objective optimization

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