Koji Shimoyama

43 papers A 2B 12C 1Journal 14Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Data-Driven Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations. CoRR Pramudita Satria Palar, Paul Saves, Rommel G. Regis, Koji Shimoyama, Shigeru Obayashi, Nicolas Verstaevel, Joseph Morlier
2025	J	`jnl`	Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration. CoRR Paul Saves, Pramudita Satria Palar, Muhammad Daffa Robani, Nicolas Verstaevel, Moncef Garouani, Julien Aligon, Benoît Gaudou, Koji Shimoyama, Joseph Morlier
2023	J	`jnl`	Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations. Reliab. Eng. Syst. Saf. Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama
2023	J	`jnl`	Global Sensitivity Analysis in Aerodynamic Design Using Shapley Effects and Polynomial Chaos Regression. IEEE Access Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama
2020	—	`conf`	Bayesian methods for multi-objective optimization of a supersonic wing planform. GECCO Companion Timothy Man Shui Jim, Ghifari Adam Faza, Pramudita Satria Palar, Koji Shimoyama
2020	—	`conf`	Combined kriging surrogate model for efficient global optimization using the optimal weighting method. GECCO Companion Tanguy Appriou, Koji Shimoyama
2020	—	`conf`	Uncertainty quantification methods for evolutionary optimization under uncertainty. GECCO Companion Pramudita Satria Palar, Koji Shimoyama, Lavi Rizki Zuhal
2019	A	`conf`	A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization. GECCO Kaifeng Yang, Pramudita Satria Palar, Michael Emmerich, Koji Shimoyama, Thomas Bäck
2019	J	`jnl`	Multiobjective design optimization of stent geometry with wall deformation for triangular and rectangular struts. Medical Biol. Eng. Comput. Narendra Kurnia Putra, Pramudita Satria Palar, Hitomi Anzai, Koji Shimoyama, Makoto Ohta
2019	—	`conf`	On the use of metaheuristics in hyperparameters optimization of gaussian processes. GECCO (Companion) Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama
2019	—	`conf`	On the use of surrogate models in engineering design optimization and exploration: the key issues. GECCO (Companion) Pramudita Satria Palar, Rhea Patricia Liem, Lavi Rizki Zuhal, Koji Shimoyama
2018	—	`conf`	Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization. BIOMA Pramudita Satria Palar, Koji Shimoyama
2018	J	`jnl`	Global sensitivity analysis via multi-fidelity polynomial chaos expansion. Reliab. Eng. Syst. Saf. Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama, Takeshi Tsuchiya
2018	A	`conf`	Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement. GECCO Pramudita Satria Palar, Kaifeng Yang, Koji Shimoyama, Michael Emmerich, Thomas Bäck
2017	J	`jnl`	Expected Improvement of Penalty-Based Boundary Intersection for Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. Nobuo Namura, Koji Shimoyama, Shigeru Obayashi
2017	J	`jnl`	Exploiting Active Subspaces in Global Optimization: How Complex is your Problem? CoRR Pramudita Satria Palar, Koji Shimoyama
2017	—	`conf`	Exploiting active subspaces in global optimization: how complex is your problem? GECCO (Companion) Pramudita Satria Palar, Koji Shimoyama
2017	—	`conf`	Exploiting gradient for kriging-based multi-objective aerodynamic optimization. SSCI Pramudita Satria Palar, Koji Shimoyama
2017	—	`conf`	In search for a better stent: Surrogate based multi-objective optimization of stent design under influence of vessel wall deformation. EMBC Narendra Kurnia Putra, Pramudita Satria Palar, Hitomi Anzai, Koji Shimoyama, Makoto Ohta
2017	J	`jnl`	Kriging surrogate model with coordinate transformation based on likelihood and gradient. J. Glob. Optim. Nobuo Namura, Koji Shimoyama, Shigeru Obayashi
2017	C	`conf`	Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization. EMO Pramudita Satria Palar, Koji Shimoyama
2017	B	`conf`	On multi-objective efficient global optimization via universal Kriging surrogate model. CEC Pramudita Satria Palar, Koji Shimoyama
2017	—	`conf`	Polynomial-chaos-kriging-assisted efficient global optimization. SSCI Pramudita Satria Palar, Koji Shimoyama
2016	B	`conf`	Evolutionary algorithm with parallel evaluation strategy using constrained penalty-based boundary intersection. CEC Koji Shimoyama, Taiga Kato
2015	B	`conf`	Effects of the number of design variables on performances in Kriging-model-based many-objective optimization. CEC Chang Luo, Koji Shimoyama, Shigeru Obayashi
2015	B	`conf`	Evolutionary algorithm with parallel evaluation strategy of feasible and infeasible solutions considering total constraint violation. CEC Taiga Kato, Koji Shimoyama, Shigeru Obayashi
2015	—	`conf`	Kriging Surrogate Model Enhanced by Coordinate Transformation of Design Space Based on Eigenvalue Decomposition. EMO (1) Nobuo Namura, Koji Shimoyama, Shigeru Obayashi
2014	B	`conf`	Kriging model based many-objective optimization with efficient calculation of expected hypervolume improvement. IEEE Congress on Evolutionary Computation Chang Luo, Koji Shimoyama, Shigeru Obayashi
2013	B	`conf`	Kriging-surrogate-based optimization considering expected hypervolume improvement in non-constrained many-objective test problems. IEEE Congress on Evolutionary Computation Koji Shimoyama, Shinkyu Jeong, Shigeru Obayashi
2012	—	`conf`	Aerodynamic optimization using building cube method and data mining with proper orthogonal decomposition. SCIS&ISIS Yoshinori Andoh, Koji Shimoyama, Shinkyu Jeong, Shigeru Obayashi
2012	B	`conf`	Comparison of the criteria for updating Kriging response surface models in multi-objective optimization. IEEE Congress on Evolutionary Computation Koji Shimoyama, Koma Sato, Shinkyu Jeong, Shigeru Obayashi
2011	J	`jnl`	Erratum to: Implementation of visual data mining for unsteady blood flow field in an aortic aneurysm. J. Vis. Seiichiro Morizawa, Koji Shimoyama, Shigeru Obayashi, Kenichi Funamoto, Toshiyuki Hayase
2011	J	`jnl`	Implementation of visual data mining for unsteady blood flow field in an aortic aneurysm. J. Vis. Seiichiro Morizawa, Koji Shimoyama, Shigeru Obayashi, Kenichi Funamoto, Toshiyuki Hayase
2011	B	`conf`	Kriging/RBF-hybrid response surface method for highly nonlinear functions. IEEE Congress on Evolutionary Computation Nobuo Namura, Koji Shimoyama, Shinkyu Jeong, Shigeru Obayashi
2010	—	`conf`	Data mining for the investigation of unsteady flow field in a hard disk drive. NaBIC Seiichiro Morizawa, Koji Shimoyama, Shinkyu Jeong, Shigeru Obayashi
2010	B	`conf`	Material design optimization for a sport shoe sole by evolutionary computation and FEM analysis. IEEE Congress on Evolutionary Computation Koji Shimoyama, Kazuya Seo, Tsuyoshi Nishiwaki, Shinkyu Jeong, Shigeru Obayashi
2009	J	`jnl`	Aerodynamic Multiobjective Design Exploration of a Flapping Airfoil Using a Navier-Stokes Solver. J. Aerosp. Comput. Inf. Commun. Akira Oyama, Yoshiyuki Okabe, Koji Shimoyama, Kozo Fujii
2009	J	`jnl`	Development and investigation of efficient GA/PSO-HYBRID algorithm applicable to real-world design optimization. IEEE Comput. Intell. Mag. Shinkyu Jeong, Shoichi Hasegawa, Koji Shimoyama, Shigeru Obayashi
2009	B	`conf`	Development and investigation of efficient GA/PSO-hybrid algorithm applicable to real-world design optimization. IEEE Congress on Evolutionary Computation Shinkyu Jeong, Shoichi Hasegawa, Koji Shimoyama, Shigeru Obayashi
2008	J	`jnl`	Development of Multi-Objective Six Sigma Approach for Robust Design Optimization. J. Aerosp. Comput. Inf. Commun. Koji Shimoyama, Akira Oyama, Kozo Fujii
2008	—	`conf`	Future Challenges. Multiobjective Optimization Kaisa Miettinen, Kalyanmoy Deb, Johannes Jahn, Wlodzimierz Ogryczak, Koji Shimoyama, Rudolf Vetschera
2007	B	`conf`	An approach for multi-objective robust optimization assisted by response surface approximation and visual data-mining. IEEE Congress on Evolutionary Computation Koji Shimoyama, Jin Ne Lim, Shinkyu Jeong, Shigeru Obayashi, Masataka Koishi
2005	B	`conf`	A new efficient and useful robust optimization approach - design for multi-objective six sigma. Congress on Evolutionary Computation Koji Shimoyama, Akira Oyama, Kozo Fujii