11120E500100 College of Engineering Seminar

TOPIC
▸　Optimal UAV Flight Path Planning for Herding Sheep

Abstract
❝　We will first introduce how literature solves the shepherding problem by autonomous agents. All the previous research designed heuristic algorithms to collect the sheep when they are too dispersed and then drive them to the destination after aggregating them. We, on the other hand, propose an innovative framework based on graph theory and integer programming models. Our approaches have a significant performance improvement and provide a new viewpoint on how this problem can be solved. 　❞

SPEAKER
▸　Prof. I-Lin WANG
▸　Department of Industrial and Information Management, National Cheng Kung University

Short Bio
❝　Professor Wang received his B.S. from the Department of Aeronautical & Astronautical Engineering at NCKU in 1991, M.S. from the OR Center at MIT in 1996 under the supervision of Prof. James B. Orlin, and Ph.D. from the ISyE at Georgia Tech in 2003 under the supervision of Prof. Ellis L. Johnson. He also worked in Fujitsu Research Lab at Kawasaki, Japan as a foreign researcher in 1996-1997. He is currently a Professor in the Department of Industrial and Information Management at NCKU, Taiwan, where he started in 2003.
❝　Professor Wang's research focuses on optimization methodologies and covers topics such as network optimization, bioinformatics, logistics management, shared mobility, humanitarian logistics, and general linear/integer/combinatorial optimization applications and solution methods. He has published papers in Operations Research, Transportation Science, Transportation Research Part C, Computers & Industrial Engineering, Journal of Industrial and Management Optimization, IEEE Transactions on Electronics Packaging Manufacturing, Asia-Pacific Journal of Operational Research, Pacific Journal of Optimization, Applied Mathematics and Computation, and Mathematical Biosciences.　❞

HOST
▸　Prof. Dong-Ying LIN
▸　Department of Industrial Engineering & Engineering Management, National Tsing Hua University

TIME
▸　2023/02/21 (TUE) 13:20 ~ 15:10

VENUE
▸　Google Meet <https://meet.google.com/cae-ruze-xdf>