A new efficient and useful robust optimization approach - design for multi-objective six sigma. - Koji Shimoyama; Akira Oyama; Kozo Fujii (Congress on Evolutionary Computation, 2005)

An approach for multi-objective robust optimization assisted by response surface approximation and visual data-mining. - Koji Shimoyama; Jin Ne Lim; Shinkyu Jeong; Shigeru Obayashi; Masataka Koishi (IEEE Congress on Evolutionary Computation, 2007)

Future Challenges. - Kaisa Miettinen; Kalyanmoy Deb; Johannes Jahn; Wlodzimierz Ogryczak; Koji Shimoyama; Rudolf Vetschera (Multiobjective Optimization, 2008)

Development of Multi-Objective Six Sigma Approach for Robust Design Optimization. - Koji Shimoyama; Akira Oyama; Kozo Fujii (J. Aerosp. Comput. Inf. Commun., 2008)

Development and investigation of efficient GA/PSO-HYBRID algorithm applicable to real-world design optimization. - Shinkyu Jeong; Shoichi Hasegawa; Koji Shimoyama; Shigeru Obayashi (IEEE Comput. Intell. Mag., 2009)

Aerodynamic Multiobjective Design Exploration of a Flapping Airfoil Using a Navier-Stokes Solver. - Akira Oyama; Yoshiyuki Okabe; Koji Shimoyama; Kozo Fujii (J. Aerosp. Comput. Inf. Commun., 2009)

Material design optimization for a sport shoe sole by evolutionary computation and FEM analysis. - Koji Shimoyama; Kazuya Seo; Tsuyoshi Nishiwaki; Shinkyu Jeong; Shigeru Obayashi (IEEE Congress on Evolutionary Computation, 2010)

Data mining for the investigation of unsteady flow field in a hard disk drive. - Seiichiro Morizawa; Koji Shimoyama; Shinkyu Jeong; Shigeru Obayashi (NaBIC, 2010)

Kriging/RBF-hybrid response surface method for highly nonlinear functions. - Nobuo Namura; Koji Shimoyama; Shinkyu Jeong; Shigeru Obayashi (IEEE Congress on Evolutionary Computation, 2011)

Implementation of visual data mining for unsteady blood flow field in an aortic aneurysm. - Seiichiro Morizawa; Koji Shimoyama; Shigeru Obayashi; Kenichi Funamoto; Toshiyuki Hayase (J. Vis., 2011)

Erratum to: Implementation of visual data mining for unsteady blood flow field in an aortic aneurysm. - Seiichiro Morizawa; Koji Shimoyama; Shigeru Obayashi; Kenichi Funamoto; Toshiyuki Hayase (J. Vis., 2011)

Comparison of the criteria for updating Kriging response surface models in multi-objective optimization. - Koji Shimoyama; Koma Sato; Shinkyu Jeong; Shigeru Obayashi (IEEE Congress on Evolutionary Computation, 2012)

Aerodynamic optimization using building cube method and data mining with proper orthogonal decomposition. - Yoshinori Andoh; Koji Shimoyama; Shinkyu Jeong; Shigeru Obayashi (SCIS&ISIS, 2012)

Kriging-surrogate-based optimization considering expected hypervolume improvement in non-constrained many-objective test problems. - Koji Shimoyama; Shinkyu Jeong; Shigeru Obayashi (IEEE Congress on Evolutionary Computation, 2013)

Kriging model based many-objective optimization with efficient calculation of expected hypervolume improvement. - Chang Luo; Koji Shimoyama; Shigeru Obayashi (IEEE Congress on Evolutionary Computation, 2014)

Evolutionary algorithm with parallel evaluation strategy of feasible and infeasible solutions considering total constraint violation. - Taiga Kato; Koji Shimoyama; Shigeru Obayashi (CEC, 2015)

Effects of the number of design variables on performances in Kriging-model-based many-objective optimization. - Chang Luo; Koji Shimoyama; Shigeru Obayashi (CEC, 2015)

Kriging Surrogate Model Enhanced by Coordinate Transformation of Design Space Based on Eigenvalue Decomposition. - Nobuo Namura; Koji Shimoyama; Shigeru Obayashi (EMO (1), 2015)

Evolutionary algorithm with parallel evaluation strategy using constrained penalty-based boundary intersection. - Koji Shimoyama; Taiga Kato (CEC, 2016)

On multi-objective efficient global optimization via universal Kriging surrogate model. - Pramudita Satria Palar; Koji Shimoyama (CEC, 2017)

In search for a better stent: Surrogate based multi-objective optimization of stent design under influence of vessel wall deformation. - Narendra Kurnia Putra; Pramudita Satria Palar; Hitomi Anzai; Koji Shimoyama; Makoto Ohta (EMBC, 2017)

Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization. - Pramudita Satria Palar; Koji Shimoyama (EMO, 2017)

Exploiting active subspaces in global optimization: how complex is your problem? - Pramudita Satria Palar; Koji Shimoyama (GECCO (Companion), 2017)

Polynomial-chaos-kriging-assisted efficient global optimization. - Pramudita Satria Palar; Koji Shimoyama (SSCI, 2017)

Exploiting gradient for kriging-based multi-objective aerodynamic optimization. - Pramudita Satria Palar; Koji Shimoyama (SSCI, 2017)

Kriging surrogate model with coordinate transformation based on likelihood and gradient. - Nobuo Namura; Koji Shimoyama; Shigeru Obayashi (J. Glob. Optim., 2017)

Expected Improvement of Penalty-Based Boundary Intersection for Expensive Multiobjective Optimization. - Nobuo Namura; Koji Shimoyama; Shigeru Obayashi (IEEE Trans. Evol. Comput., 2017)

Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization. - Pramudita Satria Palar; Koji Shimoyama (BIOMA, 2018)

Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement. - Pramudita Satria Palar; Kaifeng Yang; Koji Shimoyama; Michael Emmerich 001; Thomas Bäck (GECCO, 2018)

Global sensitivity analysis via multi-fidelity polynomial chaos expansion. - Pramudita Satria Palar; Lavi Rizki Zuhal; Koji Shimoyama; Takeshi Tsuchiya (Reliab. Eng. Syst. Saf., 2018)

On the use of surrogate models in engineering design optimization and exploration: the key issues. - Pramudita Satria Palar; Rhea Patricia Liem; Lavi Rizki Zuhal; Koji Shimoyama (GECCO (Companion), 2019)

On the use of metaheuristics in hyperparameters optimization of gaussian processes. - Pramudita Satria Palar; Lavi Rizki Zuhal; Koji Shimoyama (GECCO (Companion), 2019)

A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization. - Kaifeng Yang; Pramudita Satria Palar; Michael Emmerich 001; Koji Shimoyama; Thomas Bäck (GECCO, 2019)

Multiobjective design optimization of stent geometry with wall deformation for triangular and rectangular struts. - Narendra Kurnia Putra; Pramudita Satria Palar; Hitomi Anzai; Koji Shimoyama; Makoto Ohta (Medical Biol. Eng. Comput., 2019)

Combined kriging surrogate model for efficient global optimization using the optimal weighting method. - Tanguy Appriou; Koji Shimoyama (GECCO Companion, 2020)

Bayesian methods for multi-objective optimization of a supersonic wing planform. - Timothy Man Shui Jim; Ghifari Adam Faza; Pramudita Satria Palar; Koji Shimoyama (GECCO Companion, 2020)

Uncertainty quantification methods for evolutionary optimization under uncertainty. - Pramudita Satria Palar; Koji Shimoyama; Lavi Rizki Zuhal (GECCO Companion, 2020)

Global Sensitivity Analysis in Aerodynamic Design Using Shapley Effects and Polynomial Chaos Regression. - Pramudita Satria Palar; Lavi Rizki Zuhal; Koji Shimoyama (IEEE Access, 2023)

Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations. - Pramudita Satria Palar; Lavi Rizki Zuhal; Koji Shimoyama (Reliab. Eng. Syst. Saf., 2023)