Koji Shimoyama

Orcid: 0000-0001-8896-7707

According to our database1, Koji Shimoyama authored at least 39 papers between 2005 and 2023.

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Bibliography

2023
Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations.
Reliab. Eng. Syst. Saf., April, 2023

Global Sensitivity Analysis in Aerodynamic Design Using Shapley Effects and Polynomial Chaos Regression.
IEEE Access, 2023

2020
Uncertainty quantification methods for evolutionary optimization under uncertainty.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Bayesian methods for multi-objective optimization of a supersonic wing planform.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Combined kriging surrogate model for efficient global optimization using the optimal weighting method.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Multiobjective design optimization of stent geometry with wall deformation for triangular and rectangular struts.
Medical Biol. Eng. Comput., 2019

A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

On the use of metaheuristics in hyperparameters optimization of gaussian processes.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On the use of surrogate models in engineering design optimization and exploration: the key issues.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Global sensitivity analysis via multi-fidelity polynomial chaos expansion.
Reliab. Eng. Syst. Saf., 2018

Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018

2017
Expected Improvement of Penalty-Based Boundary Intersection for Expensive Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2017

Kriging surrogate model with coordinate transformation based on likelihood and gradient.
J. Glob. Optim., 2017

Exploiting gradient for kriging-based multi-objective aerodynamic optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Polynomial-chaos-kriging-assisted efficient global optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Exploiting active subspaces in global optimization: how complex is your problem?
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

In search for a better stent: Surrogate based multi-objective optimization of stent design under influence of vessel wall deformation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

On multi-objective efficient global optimization via universal Kriging surrogate model.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Evolutionary algorithm with parallel evaluation strategy using constrained penalty-based boundary intersection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Kriging Surrogate Model Enhanced by Coordinate Transformation of Design Space Based on Eigenvalue Decomposition.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Effects of the number of design variables on performances in Kriging-model-based many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Evolutionary algorithm with parallel evaluation strategy of feasible and infeasible solutions considering total constraint violation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Kriging model based many-objective optimization with efficient calculation of expected hypervolume improvement.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Kriging-surrogate-based optimization considering expected hypervolume improvement in non-constrained many-objective test problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Aerodynamic optimization using building cube method and data mining with proper orthogonal decomposition.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Comparison of the criteria for updating Kriging response surface models in multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Erratum to: Implementation of visual data mining for unsteady blood flow field in an aortic aneurysm.
J. Vis., 2011

Implementation of visual data mining for unsteady blood flow field in an aortic aneurysm.
J. Vis., 2011

Kriging/RBF-hybrid response surface method for highly nonlinear functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Data mining for the investigation of unsteady flow field in a hard disk drive.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

Material design optimization for a sport shoe sole by evolutionary computation and FEM analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Aerodynamic Multiobjective Design Exploration of a Flapping Airfoil Using a Navier-Stokes Solver.
J. Aerosp. Comput. Inf. Commun., 2009

Development and investigation of efficient GA/PSO-HYBRID algorithm applicable to real-world design optimization.
IEEE Comput. Intell. Mag., 2009

2008
Development of Multi-Objective Six Sigma Approach for Robust Design Optimization.
J. Aerosp. Comput. Inf. Commun., 2008

Future Challenges.
Proceedings of the Multiobjective Optimization, 2008

2007
An approach for multi-objective robust optimization assisted by response surface approximation and visual data-mining.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005
A new efficient and useful robust optimization approach - design for multi-objective six sigma.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005


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