Sub-space approximations for MDO problems with disparate disciplinary variable dependence

J Ollar, V Toropov, R Jones - Structural and Multidisciplinary Optimization, 2017 - Springer
An approach to solving multidisciplinary design optimisation problems using approximations
built in sub-spaces of the design variable space is proposed. Each approximation is built in …

A multidisciplinary design optimisation framework for structural problems with disparate variable dependence

J Ollar - 2017 - qmro.qmul.ac.uk
Multidisciplinary design optimisation incorporates several disciplines in one integrated
optimisation problem. The benefi t of considering all requirements at once rather than in …

Adaptive sub-space approximations in trust-regions for large scale MDO problems

J Ollar, V Toropov, R Jones - 56th AIAA/ASCE/AHS/ASC Structures …, 2015 - arc.aiaa.org
In a paper presented recently by the authors, a method for carrying out response surface-
based multi-disciplinary optimization, using surrogate models built in spaces of reduced …

Parallel multipoint approximation method for large-scale optimization problems

VP Gergel, KA Barkalov, EA Kozinov… - … -on-Don, Russia, April 2–6 …, 2018 - Springer
The paper presents a new development in the Multipoint Approximation Method (MAM) that
makes it capable of handling large-scale problems. The approach relies on approximations …

Design Exploration Using Unique Multidisciplinary Design Optimization Framework

G Singh, NC Praveen - … Analysis and Optimization: Proceedings of the …, 2020 - Springer
Multidisciplinary design optimization (MDO) approach can be effectively used in the product
design and development phase as it allows simultaneous exploration of design …

[PDF][PDF] Multidisciplinary Design Optimisation Research Contributions from the AMEDEO Marie Curie Initial Training Network

PLC Rolls Royce - academia.edu
This paper reviews the key research activities and results produced during the AMEDEO
(Aerospace Multidisciplinarity-Enabling Design Optimisation) Marie Curie Initial Training …