Improved collaborative optimization in multidisciplinary design optimization problems

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

Research output: Contribution to conferenceProceeding

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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 languageEnglish
Number of pages6
Publication statusPublished - 26 Sep 2018
Event8th International Systems & Concurrent Engineering for Space Applications Conference - University of Strathclyde, Glasgow, United Kingdom
Duration: 26 Sep 201828 Sep 2018
Conference number: 8
https://atpi.eventsair.com/QuickEventWebsitePortal/secesa-2018/secesa

Conference

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

Keywords

  • multidisciplinary design
  • collaborative optimization

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