Improved collaborative optimization in multidisciplinary design optimization problems

Shuai Zhang, Edmondo Minisci, Mingyong Liu, Yunke Huang, A Riccardi

Research output: Contribution to conferenceProceeding

Abstract

This paper is about a new approach for concurrent design based on collaborative optimization, a distributed optimization method for multidisciplinary designs. The key idea of the proposed method is to consider the global objective in each subspace optimization problem with an additional interaction channel for coupling variables, while maintaining an easy coordination of design variables for system level problem. The improved collaborative optimisation is applied to two academic test cases to demonstrate its feasibility and validity.

Conference

Conference8th International Systems & Concurrent Engineering for Space Applications Conference
Abbreviated titleSECESA 2018
CountryUnited Kingdom
CityGlasgow
Period26/09/1828/09/18
Internet address

Fingerprint

Design optimization

Keywords

  • multidisciplinary design
  • collaborative optimization

Cite this

Zhang, S., Minisci, E., Liu, M., Huang, Y., & Riccardi, A. (2018). Improved collaborative optimization in multidisciplinary design optimization problems. 8th International Systems & Concurrent Engineering for Space Applications Conference, Glasgow, United Kingdom.
Zhang, Shuai ; Minisci, Edmondo ; Liu, Mingyong ; Huang, Yunke ; Riccardi, A. / Improved collaborative optimization in multidisciplinary design optimization problems. 8th International Systems & Concurrent Engineering for Space Applications Conference, Glasgow, United Kingdom.6 p.
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Zhang, S, Minisci, E, Liu, M, Huang, Y & Riccardi, A 2018, 'Improved collaborative optimization in multidisciplinary design optimization problems' 8th International Systems & Concurrent Engineering for Space Applications Conference, Glasgow, United Kingdom, 26/09/18 - 28/09/18, .

Improved collaborative optimization in multidisciplinary design optimization problems. / Zhang, Shuai; Minisci, Edmondo; Liu, Mingyong; Huang, Yunke; Riccardi, A.

2018. 8th International Systems & Concurrent Engineering for Space Applications Conference, Glasgow, United Kingdom.

Research output: Contribution to conferenceProceeding

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T1 - Improved collaborative optimization in multidisciplinary design optimization problems

AU - Zhang, Shuai

AU - Minisci, Edmondo

AU - Liu, Mingyong

AU - Huang, Yunke

AU - Riccardi, A

PY - 2018/9/26

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N2 - This paper is about a new approach for concurrent design based on collaborative optimization, a distributed optimization method for multidisciplinary designs. The key idea of the proposed method is to consider the global objective in each subspace optimization problem with an additional interaction channel for coupling variables, while maintaining an easy coordination of design variables for system level problem. The improved collaborative optimisation is applied to two academic test cases to demonstrate its feasibility and validity.

AB - This paper is about a new approach for concurrent design based on collaborative optimization, a distributed optimization method for multidisciplinary designs. The key idea of the proposed method is to consider the global objective in each subspace optimization problem with an additional interaction channel for coupling variables, while maintaining an easy coordination of design variables for system level problem. The improved collaborative optimisation is applied to two academic test cases to demonstrate its feasibility and validity.

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KW - collaborative optimization

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Zhang S, Minisci E, Liu M, Huang Y, Riccardi A. Improved collaborative optimization in multidisciplinary design optimization problems. 2018. 8th International Systems & Concurrent Engineering for Space Applications Conference, Glasgow, United Kingdom.