| 2025 | SMC | Data sharing procedure for effective learnings in deep reinforcement learning of multiagent systems. | Tomohiro Hayashida, Kotaro Asano, Shinya Sekizaki, Ichiro Nishizaki |
| 2025 | SMC | A Dual-stage Dual-population Evolutionary Algorithm for Distribution System Reconfiguration with Severe Constraints. | Shinya Sekizaki, Tomohiro Hayashida |
| 2024 | FIE | WIP: Machine Learning Models for Predicting Student Performance in IoT-Enhanced Education. | Tomohiro Hayashida, Shin Wakitani, Kento Tsutsumi, Takuya Kinoshita, Ichiro Nishizaki, Shinya Sekizaki |
| 2024 | FIE | WIP: Study on a Data-Driven Adaptive Learning Support System Design for Individualized Optimal Learning. | Takahito Horinouchi, Shin Wakitani, Tomohiro Hayashida, Takuya Kinoshita, Kento Tsutsumi |
| 2024 | SMC | Integrating Task Allocation and Hierarchical Reinforcement Learning for Optimized Cargo Transport Routing. | Tomohiro Hayashida, Shinya Sekizaki, Ryuya Furukawa, Ichiro Nishizaki |
| 2023 | KES | Improving TCPSO Solution Search Performance Using Gaussian Process Regression. | Yuki Kashihara, Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki |
| 2023 | SMC | Two-Swarm Cooperative Particle Swarm Optimization Including Prediction Using Gaussian Process Regression. | Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki, Yuki Kashihara |
| 2020 | FIE | Study on an Adaptive Learning Support System Design based on Model-based Development. | Shin Wakitani, Takuya Kinoshita, Tomohiro Hayashida, Toru Yamamoto, Ichiro Nishizaki |
| 2020 | SMC | Improvement of Particle Swarm Optimization Focusing on Diversity of the Particle Swarm. | Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki, Yuki Takamori |
| 2019 | FIE | Feature Extraction and Classification of Learners Using Neural Networks. | Tomohiro Hayashida, Toru Yamamoto, Shin Wakitani, Takuya Kinoshita, Ichiro Nishizaki, Shinya Sekizaki, Yusuke Tanimoto |
| 2018 | FIE | Feature extraction and classification of learners using neural networks. | Tomohiro Hayashida, Toru Yamamoto, Shin Wakitani, Ichiro Nishizaki, Shinya Sekizaki, Yusuke Tanimoto |
| 2018 | SMC | Development of a Classifier System for Continuous Environment Using Neural Network. | Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki, Yuki Ogasawara |
| 2017 | KES | Improved anticipatory classifier system with internal memory for POMDPs with aliased states. | Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki, Hiroaki Takeuchi |
| 2016 | SMC | Distance-based clustering of population and intergroup Cooperative Particle Swarm Optimization. | Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki, Shunsuke Koto |
| 2014 | KES | Aliased States Discerning in POMDPs and Improved Anticipatory Classifier System. | Tomohiro Hayashida, Ichiro Nishizaki, Ryosuke Sakato |
| 2014 | SMC | Agent-based simulation for simultaneous ultimatum games. | Tomohiro Hayashida, Ichiro Nishizaki, Koji Saiki |
| 2009 | MDAI | A Hybrid Algorithm Based on Tabu Search and Ant Colony Optimization for | Hideki Katagiri, Tomohiro Hayashida, Ichiro Nishizaki, Jun Ishimatsu |
| 2008 | SMC | A network in a society composed of individuals characterized by the ultimatum bargaining games. | Tomohiro Hayashida, Ichiro Nishizaki, Hideki Katagiri |
| 2008 | SMC | Agent-based simulation analysis for social norms. | Ichiro Nishizaki, Hideki Katagiri, Toshihisa Oyama, Tomohiro Hayashida |