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

Surrogate-based multi-objective optimization and data mining of vortex generators on a transonic infinite-wing. - Nobuo Namura; Shigeru Obayashi; Shinkyu Jeong (IEEE Congress on Evolutionary Computation, 2013)

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

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)

Surrogate-assisted Reference Vector Adaptation to Various Pareto Front Shapes for Many-objective Bayesian Optimization. - Nobuo Namura (CEC, 2021)

Evolutionary Computation-Assisted Brainwriting for Large-Scale Online Ideation. - Nobuo Namura; Tatsuya Hasebe (CoRR, 2021)

Single and Multi-Objective Benchmark Problems Focusing on Human-Powered Aircraft Design. - Nobuo Namura (CoRR, 2023)

Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models. - Nobuo Namura; Yuma Ichikawa (CoRR, 2024)

Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization. - Nobuo Namura; Sho Takemori (AAAI, 2025)

Single and Multi-objective Optimization Benchmark Problems Focusing on Human-Powered Aircraft Design. - Nobuo Namura (EMO (1), 2025)