Abstract
In modern engineering practice computer
simulations are often used as a substitute for laboratory
experiments. This setup yields a simulation-driven optimization
problem in which the computer simulation acts as the objective
function. Since simulation runs are typically computationally
expensive, metamodels are used to approximate the simulation.
However, this setup can face difficulties in high-dimensional
problems as the accuracy of metamodels then becomes very poor.
To address this issue this paper proposes an optimization
framework which incorporates a dimensionality-reduction
technique into the search. This allows to formulate a valid lower
dimensional problem which is easier to solve. The solution found
is then mapped back to the original high dimensional space.
Performance analysis with an airfoil shape optimization problem
shows the effectiveness of the proposed framework. (Abstract)
Keywords—engineering design optimization, computer
simulations, metamodels, high-dimensionality (key words)
simulations are often used as a substitute for laboratory
experiments. This setup yields a simulation-driven optimization
problem in which the computer simulation acts as the objective
function. Since simulation runs are typically computationally
expensive, metamodels are used to approximate the simulation.
However, this setup can face difficulties in high-dimensional
problems as the accuracy of metamodels then becomes very poor.
To address this issue this paper proposes an optimization
framework which incorporates a dimensionality-reduction
technique into the search. This allows to formulate a valid lower
dimensional problem which is easier to solve. The solution found
is then mapped back to the original high dimensional space.
Performance analysis with an airfoil shape optimization problem
shows the effectiveness of the proposed framework. (Abstract)
Keywords—engineering design optimization, computer
simulations, metamodels, high-dimensionality (key words)
Original language | American English |
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Title of host publication | Proceed- igns of the 3rd International Conference on Advances in Mechanical and Automation Engineering - MAE 2015 |
Pages | 63-67 |
ISBN (Electronic) | 978-1-63248-080-4 |
State | Published - 2015 |