A Tabu Search Algorithm for Nonlinear Minimum Spanning Tree Problems. - Hideki Katagiri; Ichiro Nishizaki; Masatoshi Sakawa; Kosuke Kato; Takeshi Uno; Tomohiro Hayashida (IMECS, 2007)

A network in a society composed of individuals characterized by the ultimatum bargaining games. - Tomohiro Hayashida; Ichiro Nishizaki; Hideki Katagiri (SMC, 2008)

Agent-based simulation analysis for social norms. - Ichiro Nishizaki; Hideki Katagiri; Toshihisa Oyama; Tomohiro Hayashida (SMC, 2008)

An Agent-Based Simulation Model for Analysis on Marketing Strategy Considering Promotion Activities. - Hideki Katagiri; Ichiro Nishizaki; Tomohiro Hayashida; Takahiro Daimaru (KES-AMSTA, 2009)

Agent-Based Simulation Analysis for Equilibrium Selection and Coordination Failure in Coordination Games Characterized by the Minimum Strategy. - Ichiro Nishizaki; Tomohiro Hayashida; Hideki Katagiri; Noriyuki Hara (KES-AMSTA, 2009)

A Hybrid Algorithm Based on Tabu Search and Ant Colony Optimization for k-Minimum Spanning Tree Problems. - Hideki Katagiri; Tomohiro Hayashida; Ichiro Nishizaki; Jun Ishimatsu (MDAI, 2009)

Sensitivity analysis incorporating fuzzy evaluation for scaling constants of multiattribute utility functions. - Ichiro Nishizaki; Hideki Katagiri; Tomohiro Hayashida (Central Eur. J. Oper. Res., 2010)

Multiattribute utility analysis for policy selection and financing for the preservation of the forest. - Tomohiro Hayashida; Ichiro Nishizaki; Yoshifumi Ueda (Eur. J. Oper. Res., 2010)

On a ZCZ Code Including a Sequence Used for a Synchronization Symbol. - Shinya Matsufuji; Takahiro Matsumoto; Tomohiro Hayashida; Takafumi Hayashi; Noriyoshi Kuroyanagi; Pingzhi Fan (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Network formation and social reputation: a theoretical model and simulation analysis. - Tomohiro Hayashida; Ichiro Nishizaki; Hideki Katagiri (Int. J. Knowl. Eng. Soft Data Paradigms, 2010)

An approximate solution method based on tabu search for k-minimum spanning tree problems. - Hideki Katagiri; Tomohiro Hayashida; Ichiro Nishizaki; Jun Ishimatsu (Int. J. Knowl. Eng. Soft Data Paradigms, 2010)

Multiobjective two-level 0-1 programming through distributed genetic algorithms. - Keiichi Niwa; Tomohiro Hayashida; Masatoshi Sakawa (FUZZ-IEEE, 2011)

Agent-Based Simulation for Equilibrium Selection and Coordination Failure in Minimum Strategy Coordination Games. - Ichiro Nishizaki; Tomohiro Hayashida; Noriyuki Hara (KES-AMSTA, 2011)

Behavioural analysis in network formation using agent-based simulation systems. - Tomohiro Hayashida; Ichiro Nishizaki; Hideki Katagiri; Rika Kambara (Int. J. Knowl. Eng. Soft Data Paradigms, 2011)

Behavioral analysis in the agent-based simulation of centipede games. - Tomohiro Hayashida; Ichiro Nishizaki; Yuya Sugeo (SCIS&ISIS, 2012)

Multiobjective Evolutionary Optimization of Training and Topology of Recurrent Neural Networks for Time-Series Prediction. - Hideki Katagiri; Ichiro Nishizaki; Tomohiro Hayashida; Takanori Kadoma (Comput. J., 2012)

A hybrid algorithm based on tabu search and ant colony optimization for k-minimum spanning tree problems. - Hideki Katagiri; Tomohiro Hayashida; Ichiro Nishizaki; Qingqiang Guo (Expert Syst. Appl., 2012)

Structural optimization of neural network for data prediction using dimensional compression and tabu search. - Tomohiro Hayashida; Ichiro Nishizaki; Tsubasa Matsumoto (IWCIA, 2013)

Agent-Based Simulation Analysis for Equilibrium Selection and Coordination Failure in Coordination Games Characterized by the Minimum Strategy. - Ichiro Nishizaki; Tomohiro Hayashida; Noriyuki Hara (Trans. Comput. Collect. Intell., 2013)

Aliased States Discerning in POMDPs and Improved Anticipatory Classifier System. - Tomohiro Hayashida; Ichiro Nishizaki; Ryosuke Sakato (KES, 2014)

Agent-based simulation for simultaneous ultimatum games. - Tomohiro Hayashida; Ichiro Nishizaki; Koji Saiki (SMC, 2014)

An intelligent Home Energy Management System with classifier system. - Shinya Sekizaki; Tomohiro Hayashida; Ichiro Nishizaki (IWCIA, 2015)

The multi-objective optimization of Distribution System management in deregulated electricity market. - Ryo Tanaka; Shinya Sekizaki; Ichiro Nishizaki; Tomohiro Hayashida (IWCIA, 2015)

A study for retailer's risk hedge considering responses of consumers in electricity deregulation. - Kentaro Uehara; Shinya Sekizaki; Ichiro Nishizaki; Tomohiro Hayashida (IWCIA, 2015)

Agent-based simulation of trust games for communication and information. - Tomoharu Hasegawa; Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki (IWCIA, 2016)

Distance-based clustering of population and intergroup Cooperative Particle Swarm Optimization. - Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki; Shunsuke Koto (SMC, 2016)

Multiattribute decision analysis using strict preference relations. - Ichiro Nishizaki; Tomohiro Hayashida; Masakazu Ohmi (Ann. Oper. Res., 2016)

A core-allocation for a network restricted linear production game. - Ichiro Nishizaki; Tomohiro Hayashida; Yuki Shintomi (Ann. Oper. Res., 2016)

Analysis of cooperative structure of demand response and market strategy of aggregator based on payoff allocation. - Shogo Nishiyama; Shinya Sekizaki; Ichiro Nishizaki; Tomohiro Hayashida (IWCIA, 2017)

Structural optimization of deep belief network theorem for classification in speech recognition. - Murman Dwi Prasetio; Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki (IWCIA, 2017)

Development of interactive multi-objective reinforcement learning considering preference structure of a decision maker. - Hiroyuki Yamamoto; Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki (IWCIA, 2017)

Improved anticipatory classifier system with internal memory for POMDPs with aliased states. - Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki; Hiroaki Takeuchi (KES, 2017)

Feature extraction and classification of learners using neural networks. - Tomohiro Hayashida; Toru Yamamoto; Shin Wakitani; Ichiro Nishizaki; Shinya Sekizaki; Yusuke Tanimoto (FIE, 2018)

Development of Rational Decision Making Procedure Based on Additive Multi-Attribute Utility Function Using Strict Preference Information. - Masato Ono; Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki (SCIS&ISIS, 2018)

Development of a Classifier System for Continuous Environment Using Neural Network. - Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki; Yuki Ogasawara (SMC, 2018)

Improvement of Two-swarm Cooperative Particle Swarm Optimization Using Immune Algorithms and Swarm Clustering. - Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki; Yuki Takamori (IWCIA, 2019)

Feature extraction and Classification of Learners using Multi-Context Recurrent Neural Networks. - Yusuke Tanimoto; Tomohiro Hayashida; Toru Yamamoto; Shin Wakitani; Takuya Kinoshita; Ichiro Nishizaki; Shinya Sekizaki (IWCIA, 2019)

Feature Extraction and Classification of Learners Using Neural Networks. - Tomohiro Hayashida; Toru Yamamoto; Shin Wakitani; Takuya Kinoshita; Ichiro Nishizaki; Shinya Sekizaki; Yusuke Tanimoto (FIE, 2019)

Study on an Adaptive Learning Support System Design based on Model-based Development. - Shin Wakitani; Takuya Kinoshita; Tomohiro Hayashida; Toru Yamamoto; Ichiro Nishizaki (FIE, 2020)

Improvement of Particle Swarm Optimization Focusing on Diversity of the Particle Swarm. - Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki; Yuki Takamori (SMC, 2020)

An Evolutionary Method of Computation for Dynamic Scheduling Problems with Periodic Demand. - Daisuke Hirotani; Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki; Ibuki Maeda (IWCIA, 2021)

Improvement of learning method of multi-agent system by sharing learning data. - Qi Liu; Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki (IWCIA, 2021)

A Multi-objective Evolutionary Algorithm for Decision Support using Infeasible Information. - Shinya Sekizaki; Ichiro Nishizaki; Tomohiro Hayashida (IWCIA, 2021)

Decision making procedure based on Multiattribute Utility theory Using Bayesian inference. - Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki; Masato Ono (SCIS/ISIS, 2022)

A Multiobjective Evolutionary Algorithm for Distribution System Reconfiguration Problems. - Shinya Sekizaki; Ichiro Nishizaki; Tomohiro Hayashida (SCIS/ISIS, 2022)

Data envelopment analysis approaches for two-level production and distribution planning problems. - Ichiro Nishizaki; Tomohiro Hayashida; Shinya Sekizaki; Junya Okabe (Eur. J. Oper. Res., 2022)

Adaptive data-sharing methods for multi-agent systems using deep reinforcement learning. - Shinya Sekizaki; Ichiro Nishizaki; Tomohiro Hayashida; Qi Liu (Int. J. Comput. Intell. Stud., 2022)

Distribution System Reconfiguration using A Multiobjective Evolutionary Algorithm with An External Archive. - Shinya Sekizaki; Shuya Sato; Seigo Terayama; Ichiro Nishizaki; Tomohiro Hayashida; Takaaki Mutou; Yasuyuki Kunii (IWCIA, 2023)

DEA Approaches for Multiperiod Two-Level Production and Distribution Planning Problems. - Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki; Junya Okabe (ICISS, 2023)

Robust Price-Based Demand Response Framework for Flexibility Provision in Distribution Systems. - Shinya Sekizaki; Ichiro Nishizaki; Tomohiro Hayashida (ISGT EUROPE, 2023)

Improving TCPSO Solution Search Performance Using Gaussian Process Regression. - Yuki Kashihara; Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki (KES, 2023)

Two-Swarm Cooperative Particle Swarm Optimization Including Prediction Using Gaussian Process Regression. - Tomohiro Hayashida; Ichiro Nishizaki; Shinya Sekizaki; Yuki Kashihara (SMC, 2023)

A two-stage linear production planning model with partial cooperation under stochastic demands. - Ichiro Nishizaki; Tomohiro Hayashida; Shinya Sekizaki; Kojiro Furumi (Ann. Oper. Res., 2023)

Averaged dual solution for linear production games and its characterization. - Ichiro Nishizaki; Tomohiro Hayashida; Shinya Sekizaki; Kenta Tanaka (Central Eur. J. Oper. Res., 2023)

WIP: Machine Learning Models for Predicting Student Performance in IoT-Enhanced Education. - Tomohiro Hayashida; Shin Wakitani; Kento Tsutsumi; Takuya Kinoshita; Ichiro Nishizaki; Shinya Sekizaki (FIE, 2024)

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 (FIE, 2024)

Integrating Task Allocation and Hierarchical Reinforcement Learning for Optimized Cargo Transport Routing. - Tomohiro Hayashida; Shinya Sekizaki; Ryuya Furukawa; Ichiro Nishizaki (SMC, 2024)