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Publications

Journal articles

  1. Ziang Liu, Tatsushi Nishi, "Surrogate-assisted evolutionary optimization for perishable inventory management in multi-echelon distribution systems", Expert Systems with Applications, 2023.
  2. Yu Nishihata, Ziang Liu, Tatsushi Nishi, "Evolutionary-Game-Theory-Based Epidemiological Model for Prediction of Infections with Application to Demand Forecasting in Pharmaceutical Inventory Management Problems", Applied Sciences, 2023.
  3. Md Alam, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara, "A Novel Sampling-Based Optimal Motion Planning Algorithm for Energy-Efficient Robotic Pick and Place", Energies, 2023.
  4. Ziang Liu, Tatsushi Nishi, "Data-driven evolutionary computation for service constrained inventory optimization in multi-echelon supply chains", Complex & Intelligent Systems, 2023.
  5. Tomoya Kawabe, Tatsushi Nishi, Ziang Liu, "Flexible Route Planning for Multiple Mobile Robots by Combining Q-Learning and Graph Search Algorithm", Applied Sciences, 2023.
  6. Ziang Liu, Tatsushi Nishi, "Adaptive heterogeneous particle swarm optimization with comprehensive learning strategy", Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022.
  7. Hidetoshi Togo, Kohei Asanuma, Tatsushi Nishi, Ziang Liu, "Machine Learning and Inverse Optimization for Estimation of Weighting Factors in Multi-Objective Production Scheduling Problems", Applied Sciences, 2022.
  8. Kazuki Nonoyama, Ziang Liu, Tomofumi Fujiwara, Md Alam, Tatsushi Nishi, "Energy-Efficient Robot Configuration and Motion Planning Using Genetic Algorithm and Particle Swarm Optimization", Energies, 2022.
  9. Ziang Liu, Tatsushi Nishi, "Strategy dynamics particle swarm optimizer", Information Sciences, 2022.
  10. Ziang Liu, Tatsushi Nishi, "Multipopulation Ensemble Particle Swarm Optimizer for Engineering Design Problems", Mathematical Problems in Engineering, 2020.
  11. Tatsushi Nishi, Michiko Matsuda, Mao Hasegawa, Roghayyeh Alizadeh, Ziang Liu, Takuto Terunuma, "Automatic Construction of Virtual Supply Chain as Multi-Agent System Using Enterprise E-Catalogues", International Journal of Automation Technology, 2020.
  12. Ziang Liu, Tatsushi Nishi, "Analyzing just-in-time purchasing strategy in supply chains using an evolutionary game approach", Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2020.
  13. Ziang Liu, Tatsushi Nishi, "Government Regulations on Closed-Loop Supply Chain with Evolutionarily Stable Strategy", Sustainability, 2019.

Conference papers

  1. Ziang Liu, Shun Ito, Tomoya Kawabe, Tatsushi Nishi, Tomofumi Fujiwara, "Multi-Objective Optimization for Three-Dimensional Packing Problem Using the Sequence-Triple Representation with Robot Motion Planning", 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2023.
  2. Masaya Shiraga, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara, "Motion Planning of Industrial Robot by Data-Driven Optimization Using Petri Nets", 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2023.
  3. Yusuke Nomura, Ziang Liu, Tatsushi Nishi, "Deep Reinforcement Learning for Perishable Inventory Optimization Problem", 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2023.
  4. Ziang Liu, Reimon Shirakashi, Ryuichi Kamiebisu, Tatsushi Nishi, Michiko Matsuda, "Simulation-Based Optimization Using Virtual Supply Chain Structured by the Configuration Platform", IFAC-PapersOnLine, 2023.
  5. Ziang Liu, Tatsushi Nishi, "Inventory Control with Lateral Transshipment Using Proximal Policy Optimization", 2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS), 2023.
  6. Jun Nakao, Tatsushi Nishi, Ziang Liu, "Robust Optimization for Bilevel Production Planning Problems under Customer's Uncertainties", 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023.
  7. Konosuke Fukushima, Tatsushi Nishi, Ziang Liu, "A Combined Deep Q-Network and Graph Search for Three Dimensional Route Planning Problems for Multiple Mobile Robots", 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023.
  8. Tomoya Kawabe, Tatsushi Nishi, Liu Ziang, Tomofumi Fujiwara, "Symbolic Sequence Optimization Approach for Task and Motion Planning of Robot Manipulators", 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023.
  9. Kengo Hara, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara, "Collision-Free Motion Planning for Multiple Robot Arms by Combining Deep Q-Network and Graph Search Algorithm", 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023.
  10. Takuma Bando, Tatsushi Nishi, Md Alam, Ziang Liu, Tomofumi Fujiwara, "Automatic Generation of Optimization Model using Process Mining and Petri Nets for Optimal Motion Planning of 6-DOF Manipulators", 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
  11. Yushi Oyama, Tatsudhi Nishi, Ziang Liu, Md Alam, Tomofumi Fujiwara, "Decision Support System for Selecting Robot Systems for Pick-and-place Operation of Robot Manipulator", 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2022.
  12. Yu Nishihata, Ziang Liu, Tatsushi Nishi, "Epidemiological Model of COVID-19 based on Evolutionary Game Theory: Considering the Viral Mutations", 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2022.
  13. Tomoya Kawabe, Ziang Liu, Tatsushi Nishi, Md Alam, Tomofumi Fujiwara, "Optimal Motion Planning and Layout Design in Robotic Cellular Manufacturing Systems", 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2022.
  14. Naoto Debuchi, Tatsushi Nishi, Ziang Liu, "Distributed Optimization for Supply Chain Planning for Multiple Companies Using Subgradient Method and Consensus Control", Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022.
  15. Ryuichi Kamiebisu, Taiki Saso, Jun Nakao, Ziang Liu, Tatsushi Nishi, Michiko Matsuda, "Use cases of the platform for structuring a smart supply chain in discrete manufacturing", Procedia CIRP, 2022.
  16. Michiko Matsuda, Tatsushi Nishi, Ryuichi Kamiebisu, Mao Hasegawa, Roghayyeh Alizadeh, Ziang Liu, "Use of virtual supply chain constructed by cyber-physical systems concept", Procedia CIRP, 2021.
  17. Ziang Liu, Tatsushi Nishi, "An Evolutionary Game Model in Closed-Loop Supply Chain", 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2019.

Invited talks

  1. Ziang Liu, "Integrating Machine Learning and Optimization for Inventory Management", MOAI, Jan 26, 2024.
  2. 西竜志, 劉子昂, "機械学習を活用した最適化手法の基礎と産業応用", 2023
  3. 西竜志, 劉子昂, "データ駆動による最適化手法の基礎と産業応用", 2022.