Engineering optimization
is the subject which uses
optimization
Mathematical optimization (alternatively spelled ''optimisation'') or mathematical programming is the selection of a best element, with regard to some criteria, from some set of available alternatives. It is generally divided into two subfiel ...
techniques to achieve design goals in
engineering
Engineering is the practice of using natural science, mathematics, and the engineering design process to Problem solving#Engineering, solve problems within technology, increase efficiency and productivity, and improve Systems engineering, s ...
. It is sometimes referred to as
design optimization.
Topics
*
structural design
Structural engineering is a sub-discipline of civil engineering in which structural engineers are trained to design the 'bones and joints' that create the form and shape of human-made structures. Structural engineers also must understand and c ...
(including
pressure vessel
A pressure vessel is a container designed to hold gases or liquids at a pressure substantially different from the ambient pressure.
Construction methods and materials may be chosen to suit the pressure application, and will depend on the size o ...
design and welded beam design)
*
shape optimization
*
topology optimization (including
airfoil
An airfoil (American English) or aerofoil (British English) is a streamlined body that is capable of generating significantly more Lift (force), lift than Drag (physics), drag. Wings, sails and propeller blades are examples of airfoils. Foil (fl ...
s)
* inverse optimization (a subset of the
inverse problem
An inverse problem in science is the process of calculating from a set of observations the causal factors that produced them: for example, calculating an image in X-ray computed tomography, sound source reconstruction, source reconstruction in ac ...
)
* processing planning
* product designs
* electromagnetic optimization
*
space mapping
* aggressive
space mapping[J.E. Rayas-Sanche]
"Power in simplicity with ASM: tracing the aggressive space mapping algorithm over two decades of development and engineering applications"
IEEE Microwave Magazine, vol. 17, no. 4, pp. 64-76, April 2016.
* yield-driven design
* optimization exploiting surrogates (
surrogate model)
References
Engineering concepts
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