| Title of Article |
Airfoil Shape Optimisation Using a Multi-Fidelity Surrogate-Assisted Metaheuristic with a New Multi-Objective Infill Sampling Technique |
| Date of Acceptance |
17 March 2023 |
| Journal |
| Title of Journal |
CMES : Access Computer Modeling in Engineering & Sciences |
| Standard |
SCOPUS |
| Institute of Journal |
Tech Science Press |
| ISBN/ISSN |
ISSN:1526-1506 |
| Volume |
2023 |
| Issue |
ID: 28632 |
| Month |
March |
| Year of Publication |
2023 |
| Page |
|
| Abstract |
This work presents multi-fidelity multi-objective infill-sampling surrogate-assisted optimization for airfoil shape
optimization. The optimization problem is posed to maximize the lift and drag coefficient ratio subject to airfoil
geometry constraints. Computational Fluid Dynamic (CFD) and XFoil tools are used for high and low-fidelity
simulations of the airfoil to find the real objective function value. A special multi-objective sub-optimization
problem is proposed for multiple points infill sampling exploration to improve the surrogate model constructed.
To validate and further assess the proposed methods, a conventional surrogate-assisted optimization method
and an infill sampling surrogate-assisted optimization criterion are applied with multi-fidelity simulation, while
their numerical performance is investigated. The results obtained show that the proposed technique is the best
performer for the demonstrated airfoil shape optimization. According to this study, applying multi-fidelity with
multi-objective infill sampling criteria for surrogate-assisted optimization is a powerful design tool. |
| Keyword |
Multi-fidelity modelling; differential evolution; kriging; infill sampling criteria; metaheuristics |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ได้รับการตอบรับให้ตีพิมพ์ |
| Level of Publication |
นานาชาติ |
| citation |
false |
| Part of thesis |
true |
| Attach file |
|
| Citation |
0
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Publication
Journal Publication
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