Improved collaborative optimization in multidisciplinary design optimization problems

Zhang, Shuai and Minisci, Edmondo and Liu, Mingyong and Huang, Yunke and Riccardi, A (2018) Improved collaborative optimization in multidisciplinary design optimization problems. In: 8th International Systems & Concurrent Engineering for Space Applications Conference, 2018-09-26 - 2018-09-28, University of Strathclyde.

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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.

ORCID iDs

Zhang, Shuai, Minisci, Edmondo ORCID logoORCID: https://orcid.org/0000-0001-9951-8528, Liu, Mingyong, Huang, Yunke and Riccardi, A ORCID logoORCID: https://orcid.org/0000-0001-5305-9450;