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Koji Shimoyama
Koji Shimoyama
Department of Mechanical Engineering, Kyushu University, Japan
mech.kyushu-u.ac.jp의 이메일 확인됨 - 홈페이지
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Development and investigation of efficient GA/PSO-hybrid algorithm applicable to real-world design optimization
S Jeong, S Hasegawa, K Shimoyama, S Obayashi
IEEE Computational Intelligence Magazine 4 (3), 36-44, 2009
1202009
Global sensitivity analysis via multi-fidelity polynomial chaos expansion
PS Palar, LR Zuhal, K Shimoyama, T Tsuchiya
Reliability Engineering & System Safety 170, 175-190, 2018
822018
New constraint-handling method for multi-objective and multi-constraint evolutionary optimization
A Oyama, K Shimoyama, K Fujii
Transactions of the Japan Society for Aeronautical and Space Sciences 50 …, 2007
732007
Expected improvement of penalty-based boundary intersection for expensive multiobjective optimization
N Namura, K Shimoyama, S Obayashi
IEEE Transactions on Evolutionary Computation 21 (6), 898-913, 2017
712017
On efficient global optimization via universal Kriging surrogate models
PS Palar, K Shimoyama
Structural and Multidisciplinary Optimization 57, 2377-2397, 2018
562018
Updating kriging surrogate models based on the hypervolume indicator in multi-objective optimization
K Shimoyama, K Sato, S Jeong, S Obayashi
Journal of Mechanical Design 135 (9), 094503, 2013
562013
A comparative study of multi-objective expected improvement for aerodynamic design
LR Zuhal, PS Palar, K Shimoyama
Aerospace Science and Technology 91, 548-560, 2019
542019
A new efficient and useful robust optimization approach-design for multi-objective six sigma
K Shimoyama, A Oyama, K Fujii
2005 IEEE Congress on Evolutionary Computation 1, 950-957, 2005
532005
Topology optimization of fluid problems using genetic algorithm assisted by the Kriging model
M Yoshimura, K Shimoyama, T Misaka, S Obayashi
International Journal for Numerical Methods in Engineering 109 (4), 514-532, 2017
512017
Kriging-surrogate-based optimization considering expected hypervolume improvement in non-constrained many-objective test problems
K Shimoyama, S Jeong, S Obayashi
2013 IEEE Congress on Evolutionary Computation, 658-665, 2013
512013
Aerodynamic multiobjective design exploration of a flapping airfoil using a navier-stokes solver
A Oyama, Y Okabe, K Shimoyama, K Fujii
Journal of Aerospace Computing, Information, and Communication 6 (3), 256-270, 2009
472009
Development of multi-objective six sigma approach for robust design optimization
K Shimoyama, A Oyama, K Fujii
Journal of aerospace computing, information, and communication 5 (8), 215-233, 2008
462008
Kriging-model-based uncertainty quantification in computational fluid dynamics
S Kawai, K Shimoyama
32nd AIAA Applied Aerodynamics Conference, 2737, 2014
452014
On the use of surrogate models in engineering design optimization and exploration: The key issues
PS Palar, RP Liem, LR Zuhal, K Shimoyama
Proceedings of the genetic and evolutionary computation conference companion …, 2019
442019
Gaussian process surrogate model with composite kernel learning for engineering design
P Satria Palar, L Rizki Zuhal, K Shimoyama
AIAA journal 58 (4), 1864-1880, 2020
432020
Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations
PS Palar, LR Zuhal, K Shimoyama
Reliability Engineering & System Safety 232, 109045, 2023
412023
New constraint-handling method for multi-objective multi-constraint evolutionary optimization and its application to space plane design
A Oyama
Evolutionary and deterministic methods for design, optimization and control …, 2005
412005
Multi-objective design exploration and its applications
S Obayashi, S Jeong, K Shimoyama, K Chiba, H Morino
International Journal of Aeronautical and Space Sciences 11 (4), 247-265, 2010
392010
Review of data mining for multi-disciplinary design optimization
S Jeong, K Shimoyama
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2011
382011
Practical implementation of robust design assisted by response surface approximation and visual data-mining
K Shimoyama, JN Lim, S Jeong, S Obayashi, M Koishi
372009
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학술자료 1–20