 | 2011 |
| 9 |  | Nobuo Namura,
Koji Shimoyama,
Shinkyu Jeong,
Shigeru Obayashi:
Kriging/RBF-hybrid response surface method for highly nonlinear functions.
IEEE Congress on Evolutionary Computation 2011: 2534-2541 |
| 2010 |
| 8 |  | Koji Shimoyama,
Kazuya Seo,
Tsuyoshi Nishiwaki,
Shinkyu Jeong,
Shigeru Obayashi:
Material design optimization for a sport shoe sole by evolutionary computation and FEM analysis.
IEEE Congress on Evolutionary Computation 2010: 1-7 |
| 7 |  | Seiichiro Morizawa,
Koji Shimoyama,
Shinkyu Jeong,
Shigeru Obayashi:
Data mining for the investigation of unsteady flow field in a hard disk drive.
NaBIC 2010: 152-157 |
| 2009 |
| 6 |  | Kazuyuki Sugimura,
Shinkyu Jeong,
Shigeru Obayashi,
Takeshi Kimura:
Kriging-model-based multi-objective robust optimization and trade-off-rule mining using association rule with aspiration vector.
IEEE Congress on Evolutionary Computation 2009: 522-529 |
| 5 |  | Shinkyu Jeong,
Shoichi Hasegawa,
Koji Shimoyama,
Shigeru Obayashi:
Development and investigation of efficient GA/PSO-hybrid algorithm applicable to real-world design optimization.
IEEE Congress on Evolutionary Computation 2009: 777-784 |
| 4 |  | Shinkyu Jeong,
Shoichi Hasegawa,
Koji Shimoyama,
Shigeru Obayashi:
Development and investigation of efficient GA/PSO-HYBRID algorithm applicable to real-world design optimization.
IEEE Comp. Int. Mag. 4(3): 36-44 (2009) |
| 2007 |
| 3 |  | Koji Shimoyama,
Jin Ne Lim,
Shinkyu Jeong,
Shigeru Obayashi,
Masataka Koishi:
An approach for multi-objective robust optimization assisted by response surface approximation and visual data-mining.
IEEE Congress on Evolutionary Computation 2007: 2413-2420 |
| 2005 |
| 2 |  | Shinkyu Jeong,
Shigeru Obayashi:
Efficient global optimization (EGO) for multi-objective problem and data mining.
Congress on Evolutionary Computation 2005: 2138-2145 |
| 1 |  | Kazuhisa Chiba,
Shinkyu Jeong,
Shigeru Obayashi,
Hiroyuki Morino:
Data mining for multidisciplinary design space of regional-jet wing.
Congress on Evolutionary Computation 2005: 2333-2340 |