| 2020 | GECCO | Combined kriging surrogate model for efficient global optimization using the optimal weighting method. | Tanguy Appriou, Koji Shimoyama |
| 2020 | GECCO | Bayesian methods for multi-objective optimization of a supersonic wing planform. | Timothy Man Shui Jim, Ghifari Adam Faza, Pramudita Satria Palar, Koji Shimoyama |
| 2020 | GECCO | Uncertainty quantification methods for evolutionary optimization under uncertainty. | Pramudita Satria Palar, Koji Shimoyama, Lavi Rizki Zuhal |
| 2019 | GECCO | 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 |
| 2019 | GECCO | On the use of metaheuristics in hyperparameters optimization of gaussian processes. | Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama |
| 2019 | GECCO | A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization. | Kaifeng Yang, Pramudita Satria Palar, Michael Emmerich, Koji Shimoyama, Thomas Bck |
| 2018 | GECCO | Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement. | Pramudita Satria Palar, Kaifeng Yang, Koji Shimoyama, Michael Emmerich, Thomas Bck |
| 2017 | CEC | On multi-objective efficient global optimization via universal Kriging surrogate model. | Pramudita Satria Palar, Koji Shimoyama |
| 2017 | EMO | Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization. | Pramudita Satria Palar, Koji Shimoyama |
| 2017 | GECCO | Exploiting active subspaces in global optimization: how complex is your problem? | Pramudita Satria Palar, Koji Shimoyama |
| 2016 | CEC | Evolutionary algorithm with parallel evaluation strategy using constrained penalty-based boundary intersection. | Koji Shimoyama, Taiga Kato |
| 2015 | CEC | Evolutionary algorithm with parallel evaluation strategy of feasible and infeasible solutions considering total constraint violation. | Taiga Kato, Koji Shimoyama, Shigeru Obayashi |
| 2015 | CEC | Effects of the number of design variables on performances in Kriging-model-based many-objective optimization. | Chang Luo, Koji Shimoyama, Shigeru Obayashi |
| 2015 | EMO | Kriging Surrogate Model Enhanced by Coordinate Transformation of Design Space Based on Eigenvalue Decomposition. | Nobuo Namura, Koji Shimoyama, Shigeru Obayashi |
| 2014 | CEC | Kriging model based many-objective optimization with efficient calculation of expected hypervolume improvement. | Chang Luo, Koji Shimoyama, Shigeru Obayashi |
| 2013 | CEC | Kriging-surrogate-based optimization considering expected hypervolume improvement in non-constrained many-objective test problems. | Koji Shimoyama, Shinkyu Jeong, Shigeru Obayashi |
| 2012 | CEC | Comparison of the criteria for updating Kriging response surface models in multi-objective optimization. | Koji Shimoyama, Koma Sato, Shinkyu Jeong, Shigeru Obayashi |
| 2011 | CEC | Kriging/RBF-hybrid response surface method for highly nonlinear functions. | Nobuo Namura, Koji Shimoyama, Shinkyu Jeong, Shigeru Obayashi |
| 2010 | CEC | Material design optimization for a sport shoe sole by evolutionary computation and FEM analysis. | Koji Shimoyama, Kazuya Seo, Tsuyoshi Nishiwaki, Shinkyu Jeong, Shigeru Obayashi |
| 2009 | CEC | Development and investigation of efficient GA/PSO-hybrid algorithm applicable to real-world design optimization. | Shinkyu Jeong, Shoichi Hasegawa, Koji Shimoyama, Shigeru Obayashi |
| 2007 | CEC | 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 |
| 2005 | CEC | A new efficient and useful robust optimization approach - design for multi-objective six sigma. | Koji Shimoyama, Akira Oyama, Kozo Fujii |