Data supporting the publication: Dynamic Multidisciplinary Design Analysis and Optimization Workflows: Concept and Implementation

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Authors: Anne-Liza Bruggeman
Cited by: 0

Abstract

This dataset contains results from Multidisciplinary Design Analysis and Optimization Workflows (MDAO) workflows generated using Optimus 2021.1SP2. The use case is the single-objective Variable Size Design Space (VSDS) Goldstein problem as described in Pelamatti et al. 2021 and the multi-objective variant as described in Valencia-Ibáñez 2023 (see references). The optimization problems have been solved using a newly developed methodology for dynamic MDAO workflows described in Bruggeman et al. (2026) (see References). The data available in this repository was generated to verify and validate the correct working of the novel dynamic MDAO workflows and to quantify their performances compared to the current state-of-the-art, where a static MDAO workflow is formulated for each subproblem.

Fields of Study & Subjects

Advanced Multi-Objective Optimization Algorithms Topology Optimization in Engineering Product Development and Customization

Publication details

Journal / source
4TU.ResearchData
Publication date
16 February 2026
Language
EN
Document type
Dataset