Improved collaborative optimization in multidisciplinary design optimization problems

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

Improved collaborative optimization in multidisciplinary design optimization problems

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

Mechanical And Aerospace Engineering

Research output: Contribution to conference › Proceeding

31 Downloads (Pure)

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.

Original language	English
Number of pages	6
Publication status	Published - 26 Sept 2018
Event	8th International Systems & Concurrent Engineering for Space Applications Conference - University of Strathclyde, Glasgow, United Kingdom Duration: 26 Sept 2018 → 28 Sept 2018 Conference number: 8 https://atpi.eventsair.com/QuickEventWebsitePortal/secesa-2018/secesa

Conference

Conference	8th International Systems & Concurrent Engineering for Space Applications Conference
Abbreviated title	SECESA 2018
Country/Territory	United Kingdom
City	Glasgow
Period	26/09/18 → 28/09/18
Internet address	https://atpi.eventsair.com/QuickEventWebsitePortal/secesa-2018/secesa

Keywords

multidisciplinary design
collaborative optimization

Access to Document

Zhang-etal-SECESA2018-Improved-collaborative-optimization-in-MDO-problemsAccepted author manuscript, 269 KB

Cite this

@conference{6f199f9153ec46eab7032118484477e6,

title = "Improved collaborative optimization in multidisciplinary design optimization problems",

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.",

keywords = "multidisciplinary design, collaborative optimization",

author = "Shuai Zhang and Edmondo Minisci and Mingyong Liu and Yunke Huang and A Riccardi",

year = "2018",

month = sep,

day = "26",

language = "English",

note = "8th International Systems & Concurrent Engineering for Space Applications Conference, SECESA 2018 ; Conference date: 26-09-2018 Through 28-09-2018",

url = "https://atpi.eventsair.com/QuickEventWebsitePortal/secesa-2018/secesa",

}

TY - CONF

T1 - Improved collaborative optimization in multidisciplinary design optimization problems

AU - Zhang, Shuai

AU - Minisci, Edmondo

AU - Liu, Mingyong

AU - Huang, Yunke

AU - Riccardi, A

N1 - Conference code: 8

PY - 2018/9/26

Y1 - 2018/9/26

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.

KW - multidisciplinary design

KW - collaborative optimization

UR - https://atpi.eventsair.com/QuickEventWebsitePortal/secesa-2018/secesa

M3 - Proceeding

T2 - 8th International Systems & Concurrent Engineering for Space Applications Conference

Y2 - 26 September 2018 through 28 September 2018

ER -

Improved collaborative optimization in multidisciplinary design optimization problems

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this