Live briefing
Everything about Multidisciplinary design optimization
Field of engineering
Multi-disciplinary design optimization (MDO) is a field of engineering that uses optimization methods to solve design problems incorporating a number of disciplines. It is also known as multidisciplinary system design optimization (MSDO), and multidisciplinary design analysis and optimization (MDAO). Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Multidisciplinary design optimizationA 5-minute orientation
- Skim a recent paper: Multidisciplinary design optimization of engineering systems under uncertainty: a reviewInfluential work since 2022
- Pick up a classic book: Australian Guidebook for Structural EngineersThe most-reprinted book on the subject
- Read the landmark paper: Multidisciplinary Design Optimization: A Survey of ArchitecturesCited 978 times
- Go sideways: OptiSLangA closely related topic
- Go sideways: Multi-objective optimizationA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Multidisciplinary Design Optimization: A Survey of Architectures
Special Section on Multidisciplinary Design Optimization: Metamodeling in Multidisciplinary Design Optimization: How Far Have We Really Come?
Special Section on Multidisciplinary Design Optimization: Multidisciplinary Design Optimization of Dynamic Engineering Systems
Multidisciplinary design optimization of an automotive magnetorheological brake design
Benchmarking multidisciplinary design optimization algorithms
Component-oriented decomposition for multidisciplinary design optimization in building design
Subsonic wing planform design using multidisciplinary optimization
Multidisciplinary design optimization on vehicle tailor rolled blank design
🆕 Influential since 2022
Multidisciplinary design optimization of engineering systems under uncertainty: a review
Multidisciplinary design optimization of dynamic positioning system for semi-submersible platform
pyGeo: A geometry package for multidisciplinary design optimization
Multidisciplinary design and optimization of winged architectures for reusable launch vehicles
Multidisciplinary Design Optimization Approach to Integrated Space Mission Planning and Spacecraft Design
📚 Books worth reading
Australian Guidebook for Structural EngineersLonnie Pack · 2017
Constructing the futureGhassan Aouad, Lee, Angela Ph. D. · 2006- 📕Multidisciplinary Design Optimization Supported by Knowledge Based EngineeringJaroslaw Sobieszczanski-Sobieski, Alan Morris · 2015
- 📕2008 11th International Conference on Optimization of Electrical and Electronic EquipmentInternational Conference on Optimization of Electrical and Electronic Equipment (11th 2000 Brașov, Romania) · 2008
Multicriteria design optimizationHans Eschenauer, Andrzej Osyczka · 1990
Proceedings of the First World Congress of Structural and Multidisciplinary OptimizationWorld Congress of Structural and Multidisciplinary Optimization (1st 1995 Goslar, Germany) · 1995
Constraint-handling in evolutionary optimizationEfrén Mezura-Montes · 2009- 📕Variable-complexity multidisciplinary optimization on parallel computersBernard Grossman · 1998
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- OptiSLang optiSLang is a software platform for CAE-based sensitivity analysis, multi-disciplinary optimization (MDO) and robustness evaluation. It was originally…
- Multi-objective optimization In multiple-criteria decision making, multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization…
- Bayesian optimization Bayesian optimization is a sequential model-based strategy for global optimization of black-box objective functions whose evaluations are costly. It is…
- Mathematical optimization Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criteria…
- Constrained optimization In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function…
- Convex optimization Convex optimization is a subfield of mathematical optimization that studies the problem of minimizing convex functions over convex sets (or, equivalently…
- List of numerical analysis topics This is a list of numerical analysis topics. Validated numerics Iterative method Rate of convergence — the speed at which a convergent sequence approaches…
- Hypervolume indicator The hypervolume indicator is a performance indicator used in multi-objective optimization to measure the quality of a finite approximation of the Pareto…