Ya-Chih Tsai

According to our database, Ya-Chih Tsai authored at least 9 papers between 2018 and 2023.

Collaborative distances:

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

2023

A Trajectory-Based Immigration Strategy Genetic Algorithm to Solve a Single-Machine Scheduling Problem with Job Release Times and Flexible Preventive Maintenance.

Shenquan Huang, Ya-Chih Tsai, Fuh-Der Chou

Algorithms, April, 2023

An Evaluation of Mathematical Programming and Lower-Bound Methods for Hybrid Flow Shop Problems With a Makespan Criterion.

Yarong Chen, Ya-Chih Tsai, Fuh-Der Chou

IEEE Access, 2023

2022

Single Machine Scheduling Problem With a Weight-Modifying-Activity to Minimize the Total Weighted Completion Time.

Yarong Chen, Zailin Guan, Ya-Chih Tsai, Fuh-Der Chou

IEEE Access, 2022

2021

Feature-Extraction-Based Iterated Algorithms to Solve the Unrelated Parallel Machine Problem With Periodic Maintenance Activities.

Jihong Pang, Ya-Chih Tsai, Fuh-Der Chou

IEEE Access, 2021

2019

Minimizing the Total Weighted Completion Time of a Single Machine With Flexible Maintenance.

Shenquan Huang, Hongming Zhou, Ya-Chih Tsai, Yarong Chen, Fuh-Der Chou

IEEE Access, 2019

Scheduling Jobs on a Single Machine With Dirt Cleaning Consideration to Minimize Total Completion Time.

Yarong Chen, Ling-Huey Su, Ya-Chih Tsai, Shenquan Huang, Fuh-Der Chou

IEEE Access, 2019

Modeling and Scheduling for the Clean Operation of Semiconductor Manufacturing.

Ya-Chih Tsai, Jihong Pang, Fuh-Der Chou

Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

2018

A scatter simulated annealing algorithm for the bi-objective scheduling problem for the wet station of semiconductor manufacturing.

Jihong Pang, Hongming Zhou, Ya-Chih Tsai, Fuh-Der Chou

Comput. Ind. Eng., 2018

Minimizing Total Weighted Completion Time on a Single Machine Scheduling Problem with Resumable Jobs and Flexible Maintenance.

Ya-Chih Tsai, Yarong Chen, Fuh-Der Chou

Proceedings of the 4th International Conference on Robotics and Artificial Intelligence, 2018