Professor Danyu Bai is based at the School of Maritime Economics and Management and is the Director of Department of Logistics and Supply Chain Management, Dalian Maritime University, Dalian, China. He serves as the vice president of the Scheduling Sub-Society of the Operations Research Society of China. He has authored two academic books and more than 50 refereed papers. In 2023, he received the second prize of the Innovation Technology Award at the Chinese Society of Simulation Science and Technology AwardsDr Xinyue Wang is an Associate Research Fellow at the Software College of Northeastern University. Dr Wang obtained her Ph.D. degree in Mathematics and Computer Science from Université Paris-Saclay, France. Her main research interests include computer science, systems engineering, scheduling optimization, algorithm design, and theoretical analysisProfessor Tao Ren is a Professor at the Software College at Northeastern University, China. His main research interests include the study of artificial intelligence algorithms and their applications in cutting-edge fields, such as image processing based on machine learning, seismic monitoring, multi-agent games, and intelligent optimization

• 1. Introduction2. Flow shop Scheduling with Release Dates3. Flow shop Scheduling with Processor Blocking4. Flow shop Scheduling with Learning Effect5. Bi-Agent Flow shop Scheduling Problems6. Bi-Agent Blocking Flow shop and Its Extension Problems7. Hybrid Flow shop Scheduling with Learning Effect

Professor Danyu Bai is based at the School of Maritime Economics and Management and is the Director of Department of Logistics and Supply Chain Management, Dalian Maritime University, Dalian, China. He serves as the vice president of the Scheduling Sub-Society of the Operations Research Society of China. He has authored two academic books and more than 50 refereed papers. In 2023, he received the second prize of the Innovation Technology Award at the Chinese Society of Simulation Science and Technology AwardsDr Xinyue Wang is an Associate Research Fellow at the Software College of Northeastern University. Dr Wang obtained her Ph.D. degree in Mathematics and Computer Science from Université Paris-Saclay, France. Her main research interests include computer science, systems engineering, scheduling optimization, algorithm design, and theoretical analysisProfessor Tao Ren is a Professor at the Software College at Northeastern University, China. His main research interests include the study of artificial intelligence algorithms and their applications in cutting-edge fields, such as image processing based on machine learning, seismic monitoring, multi-agent games, and intelligent optimization

• 1. Introduction2. Flow shop Scheduling with Release Dates3. Flow shop Scheduling with Processor Blocking4. Flow shop Scheduling with Learning Effect5. Bi-Agent Flow shop Scheduling Problems6. Bi-Agent Blocking Flow shop and Its Extension Problems7. Hybrid Flow shop Scheduling with Learning Effect

Professor Danyu Bai is based at the School of Maritime Economics and Management and is the Director of Department of Logistics and Supply Chain Management, Dalian Maritime University, Dalian, China. He serves as the vice president of the Scheduling Sub-Society of the Operations Research Society of China. He has authored two academic books and more than 50 refereed papers. In 2023, he received the second prize of the Innovation Technology Award at the Chinese Society of Simulation Science and Technology AwardsDr Xinyue Wang is an Associate Research Fellow at the Software College of Northeastern University. Dr Wang obtained her Ph.D. degree in Mathematics and Computer Science from Université Paris-Saclay, France. Her main research interests include computer science, systems engineering, scheduling optimization, algorithm design, and theoretical analysisProfessor Tao Ren is a Professor at the Software College at Northeastern University, China. His main research interests include the study of artificial intelligence algorithms and their applications in cutting-edge fields, such as image processing based on machine learning, seismic monitoring, multi-agent games, and intelligent optimization

• 1. Introduction2. Flow shop Scheduling with Release Dates3. Flow shop Scheduling with Processor Blocking4. Flow shop Scheduling with Learning Effect5. Bi-Agent Flow shop Scheduling Problems6. Bi-Agent Blocking Flow shop and Its Extension Problems7. Hybrid Flow shop Scheduling with Learning Effect