Ziang Liu

According to our database, Ziang Liu authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Surrogate-assisted evolutionary optimization for perishable inventory management in multi-echelon distribution systems.

Ziang Liu, Tatsushi Nishi

Expert Syst. Appl., March, 2024

2023

Robust Optimization for Bilevel Production Planning Problems under Customer's Uncertainties.

Jun Nakao, Tatsushi Nishi, Ziang Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Motion Planning of Industrial Robot by Data-Driven Optimization Using Petri Nets.

Masaya Shiraga, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

Deep Reinforcement Learning for Perishable Inventory Optimization Problem.

Yusuke Nomura, Ziang Liu, Tatsushi Nishi

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

Multi-Objective Optimization for Three-Dimensional Packing Problem Using the Sequence-Triple Representation with Robot Motion Planning.

Ziang Liu, Shun Ito, Tomoya Kawabe, Tatsushi Nishi, Tomofumi Fujiwara

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

Symbolic Sequence Optimization Approach for Task and Motion Planning of Robot Manipulators.

Tomoya Kawabe, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Collision-Free Motion Planning for Multiple Robot Arms by Combining Deep Q-Network and Graph Search Algorithm.

Kengo Hara, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

A Combined Deep Q-Network and Graph Search for Three Dimensional Route Planning Problems for Multiple Mobile Robots.

Konosuke Fukushima, Tatsushi Nishi, Ziang Liu

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Strategy dynamics particle swarm optimizer.

Ziang Liu, Tatsushi Nishi

Inf. Sci., 2022

Automatic Generation of Optimization Model using Process Mining and Petri Nets for Optimal Motion Planning of 6-DOF Manipulators.

Takuma Bando, Tatsushi Nishi, Md. Moktadir Alam, Ziang Liu, Tomofumi Fujiwara

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Distributed Optimization for Supply Chain Planning for Multiple Companies Using Subgradient Method and Consensus Control.

Naoto Debuchi, Tatsushi Nishi, Ziang Liu

Proceedings of the Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022

Decision Support System for Selecting Robot Systems for Pick-and-place Operation of Robot Manipulator.

Yushi Oyama, Tatsudhi Nishi, Ziang Liu, Md. Moktadir Alam, Tomofumi Fujiwara

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

Epidemiological Model of COVID-19 based on Evolutionary Game Theory: Considering the Viral Mutations.

Yu Nishihata, Ziang Liu, Tatsushi Nishi

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

Optimal Motion Planning and Layout Design in Robotic Cellular Manufacturing Systems.

Tomoya Kawabe, Ziang Liu, Tatsushi Nishi, Md. Moktadir Alam, Tomofumi Fujiwara

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

2020

Automatic Construction of Virtual Supply Chain as Multi-Agent System Using Enterprise E-Catalogues.

Tatsushi Nishi, Michiko Matsuda, Mao Hasegawa, Roghayyeh Alizadeh, Ziang Liu, Takuto Terunuma

Int. J. Autom. Technol., 2020

2019

An Evolutionary Game Model in Closed-Loop Supply Chain.

Ziang Liu, Tatsushi Nishi

Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019