| Convergence acceleration of a Navier-Stokes solver for efficient static aeroelastic computations S Obayashi, GP Guruswamy AIAA journal 33 (6), 1134-1141, 1995 | 379 | 1995 |
| Transonic axial-flow blade optimization: Evolutionary algorithms/three-dimensional Navier-Stokes solver A Oyama, MS Liou, S Obayashi Journal of Propulsion and Power 20 (4), 612-619, 2004 | 306 | 2004 |
| Visualization and data mining of Pareto solutions using self-organizing map S Obayashi, D Sasaki International conference on evolutionary multi-criterion optimization, 796-809, 2003 | 243 | 2003 |
| Flowfield of a lifting rotor in hover-A Navier-Stokes simulation GR Srinivasan, JD Baeder, S Obayashi, WJ McCroskey AIAA journal 30 (10), 2371-2378, 1992 | 233 | 1992 |
| Efficient search for trade-offs by adaptive range multi-objective genetic algorithms D Sasaki, S Obayashi Journal of Aerospace Computing, Information, and Communication 2 (1), 44-64, 2005 | 230 | 2005 |
| Multiobjective evolutionary computation for supersonic wing-shape optimization S Obayashi, D Sasaki, Y Takeguchi, N Hirose IEEE transactions on evolutionary computation 4 (2), 182-187, 2000 | 180 | 2000 |
| Numerical simulation of the integrated space shuttle vehicle in ascent P Buning, I Chiu, S Obayashi, Y Rizk, J Steger 15th Atmospheric Flight Mechanics Conference, 4359, 1988 | 180 | 1988 |
| Genetic optimization of target pressure distributions for inverse design methods S Obayashi, S Takanashi AIAA journal 34 (5), 881-886, 1996 | 170 | 1996 |
| Data mining for aerodynamic design space S Jeong, K Chiba, S Obayashi Journal of aerospace computing, information, and communication 2 (11), 452-469, 2005 | 151 | 2005 |
| Efficient global optimization (EGO) for multi-objective problem and data mining S Jeong, S Obayashi 2005 IEEE congress on evolutionary computation 3, 2138-2145, 2005 | 149 | 2005 |
| Multiobjective design study of a flapping wing power generator E Shimizu, K Isogai, S Obayashi Journal of Fluids Engineering 130 (2), 021104, 2008 | 144 | 2008 |
| Real-coded adaptive range genetic algorithm applied to transonic wing optimization A Oyama, S Obayashi, T Nakamura Applied Soft Computing 1 (3), 179-187, 2001 | 134 | 2001 |
| A data assimilation methodology for reconstructing turbulent flows around aircraft H Kato, A Yoshizawa, G Ueno, S Obayashi Journal of Computational Physics 283, 559-581, 2015 | 131 | 2015 |
| Comparison of optimization algorithms for aerodynamic shape design S Obayashi, T Tsukahara AIAA journal 35 (8), 1413-1415, 1997 | 128 | 1997 |
| Practical applications of new LU-ADI scheme for the three-dimensional Navier-Stokes computation of transonic viscous flows K Fujii, S Obayashi 24th Aerospace Sciences Meeting, 513, 1986 | 128 | 1986 |
| Aerodynamic optimization of supersonic transport wing using unstructured adjoint method HJ Kim, D Sasaki, S Obayashi, K Nakahashi AIAA journal 39 (6), 1011-1020, 2001 | 127 | 2001 |
| Navier-Stokes optimization of supersonic wings with four objectives using evolutionary algorithm D Sasaki, S Obayashi, K Nakahashi Journal of Aircraft 39 (4), 621-629, 2002 | 119 | 2002 |
| 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 | 117 | 2009 |
| Multi-objective design exploration for aerodynamic configurations S Obayashi, S Jeong, K Chiba 35th AIAA fluid dynamics conference and exhibit, 4666, 2005 | 116 | 2005 |
| Improvements in efficiency and reliability for Navier-Stokes computations using the LU-ADI factorization algorithm S Obayashi, K Kuwahara, K Fujii, K Matsushima 24th Aerospace Sciences Meeting, 338, 1986 | 114 | 1986 |
