| 2026 | GECCO | A Hybrid DE-PSO Algorithm for Constrained Optimization Problems with Distinct Constraint Handling. | So Fukuhara, Masao Arakawa |
| 2025 | GECCO | Particle Swarm Optimization for Large-Scale Mixed-Variable Optimization Problems. | So Fukuhara, Masao Arakawa |
| 2024 | GECCO | Particle Swarm Optimization with Unfeasible Personal Best for Constrained Problems. | So Fukuhara, Masao Arakawa |
| 2023 | GECCO | Development of forked divergence particle swarm optimization. | So Fukuhara, Masao Arakawa |
| 2023 | HCI | Development of Multi-objective Optimal Design Method Using Review Data with Kansei Items as the Objective Function. | So Fukuhara, Saerom Lee, Masao Arakawa |
| 2010 | IJCNN | Modified Support Vector Regression in outlier detection. | Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun |
| 2008 | ICONIP | Practical Approach to Outlier Detection Using Support Vector Regression. | Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun |
| 2007 | CEC | Range juggling for better convergence in genetic range genetic algorithms. | Masao Arakawa |
| 2004 | CEC | Fitness evaluation using generalized data envelopment analysis in MOGA. | Yeboon Yun, Masao Arakawa, Hirotaka Nakayama |
| 2004 | IJCNN | Using support vector machines in multi-objective optimization. | Yeboon Yun, Hirotaka Nakayama, Masao Arakawa |
| 2003 | IJCNN | Using support vector machines in optimization for black-box objective functions. | Hirotaka Nakayama, Masao Arakawa, Koji Washino |
| 2001 | ICANN | A Computational Intelligence Approach to Optimization with Unknown Objective Functions. | Hirotaka Nakayama, Masao Arakawa, Rie Sasaki |