Publications

Articles

An Artificial Neural Network-Assisted Genetic Algorithm With Application to Multi-Objective Transonic Airfoil Shape Optimization.
Hariansyah, M. A., and Shimoyama, K.,
JAXA Special Publication : Proceedings of the 53rd Fluid Dynamics Conference/39th Aerospace Numerical Simulation Symposium, 2022,
pp. 115-124, JAXA-SP-21-008, ISSN 2433-2232.
[JAXA-SP-21-008] [ResearchGate]

On the Use of a Multilayer Perceptron Based Surrogate Model in Evolutionary Optimization.
Hariansyah, M. A., and Shimoyama, K.,
Proceedings of the Computational Mechanics Conference, 2021,
Vol. 2021.34, Online ISSN 2424-2799.
[DOI:10.1299/jsmecmd.2021.34.235] [ResearchGate]

Presentations

Deep Learning Techniques for High-Dimensional Surrogate-Based Aerodynamic Design.
Hariansyah, M. A., and Shimoyama, K.,
33rd Congress of the International Council of the Aeronautical Sciences,
Oral Presentation, September 2022, Stockholm, Sweden.
[Program] [Archive] [ResearchGate]

Aerodynamic Wing Shape Optimization via Deep Learning-Assisted Genetic Algorithm.
Hariansyah, M. A., and Shimoyama, K.,
Japan Society of Mechanical Engineers (JSME) Annual Meeting 2022,
Oral Presentation, September 2022, Toyama, Japan.
[Program] [PDF]

Optimization of Structural Layout for Composite Aircraft Wings.
Inaba, Y., Date, S., Hariansyah, M. A., Abe, Y., Shimoyama, K., Okabe, T., and Obayashi, S.,
18th International Conference on Flow Dynamics, Online Poster Presentation, 2021.
[Program] [Poster]

On the Use of a Multilayer Perceptron as an Aerodynamic Performance Approximator in Multi-Objective Transonic Airfoil Shape Optimization.
Hariansyah, M. A., and Shimoyama, K.,
18th International Conference on Flow Dynamics, Online Poster Presentation, 2021.
[Program] [Poster]

Theses

Master
Deep Learning Techniques for Aerodynamic Wing Shape Optimization.
July, 2023.
Supervisors: Shigeru Obayashi, Koji Shimoyama
[PDF]

Bachelor
An Artificial Neural Network-Assisted Genetic Algorithm with Application to Multi-Objective Transonic Airfoil Shape Optimization.
September, 2021.
Supervisor: Koji Shimoyama
[PDF]