Xiuli Wu received her Ph.D degree in Mechanical and Electronic Engineering from Northwestern Polytechnical University in 2006. She is now a Professor at Department of Logistics Engineering, School of Mechanical Engineering, University of Science and Technology Beijing. She currently serves as the Teaching Director of Logistics Engineering major. Her current research interests include production scheduling, logistic optimization, intelligent algorithms.

In the last 10 years, she was involved in the modeling and optimization of complex manufacturing system, including flexible job shop scheduling problem, hybrid flow shop scheduling problem, and service-oriented manufacturing system scheduling problem.

She has served as the PI or co-PI of more than 5 research projects, with a total funding of more than 1.5 million RMB. She has more than 50 technical publications, including 50 in referred journals and transactions and two books. Her h-index is 8 according to the Google scholar analysis. The total number of citations to her work is more than 500. She believes in setting high expectation and helping students to exceed it by selecting innovative research topics with high impact.

Xiuli Wu has been an active member of China Simulation Federation, a member of intelligent simulation optimization and scheduling Committee of China Simulation Federation, a senior member of the Chinese Mechanical Engineering Society, a member of Environmental Protection and Green Manufacturing Technology Branch of the Chinese Mechanical Engineering Society, and a member of China Federation of Logistics and Purchasing. She is also a reviewer of 12 journals, including the Journal of Cleaner Production, Computers and Operations Research, et.al.

Degrees Earned
Ph.D., Mechanical and Electronic Engineering, Northwestern Polytechnical University, Xian, China 2006
M.S., Mechanical and Electronic Engineering, Northwestern Polytechnical University, Xian, China 2003
B.S., Mechanical and Electronic Engineering, Northwestern Polytechnical University, Xian, China 2000

Working experience

2020.7-now，professor, Department of logistics engineering, School of mechanical engineering, University of Science and Technology Beijing, China

2012.7-2020.6，associate professor, Department of logistics engineering, School of mechanical engineering, University of Science and Technology Beijing, China

2006.9-2012.6，lecture, Department of logistics engineering, School of mechanical engineering, University of Science and Technology Beijing, China

2014.6-2015.6，academic visitor, university of Birmingham, UK

Honors and Awards

1.Excellent master's thesis instructor in University of Science and Technology Beijing, 2020

2.Excellent undergraduate design (Thesis) instructor in Beijing, 2019

3.Excellent tutor in University of Science and Technology Beijing , 2019

4.Textbook publishing Award in University of Science and Technology Beijing, 2019

5.Honorary title “I like my teacher - the best teacher in my mind”,2018,2009

6.Excellent instructor in “The Fifth Contest on Logistics Design by University Student in Beijing”, 2017

7.Excellent instructor in “The Third National Contest on Logistics Design by University Student”, 2011

8.Excellent instructor in “The First Contest on Logistics Design by University Student in Beijing”, 2009

Representative Publications

[1]    Wu Xiuli, Yuan Qi, Wang Ling. Multi-objective Differential Evolution Algorithm for Solving Robotic Cell Scheduling Problem with Batch-processing Machines, IEEE Transactions on Automation Science and Engineering. 2020,DOI.10.1109/TASE.2020.2969469
[2]    Wu Xiuli, Shen Xianli, Zhao Ning. An improved discrete pigeon-inspired optimization algorithm for flexible job shop scheduling problem [J]. International Journal of Bio-Inspired Computation, 2020
[3]    Xiuli Wu, Xianli Shen, Congbo Li. The flexible job-shop scheduling problem considering deterioration effect and energy consumption simultaneously [J]. Computers & Industrial Engineering, 2019,135:1004-1024
[4]    Xiuli Wu，Liu Xiajing. A Differential Evolution Algorithm for Solving a Distributed Assembly Flexible Job Shop Scheduling Problem. Memetic Computing.2019,11(4):335-355
[5]   Wu, Xiuli; Shen, Xianli; Zhang, Linjuan. Solving the planning and scheduling problem simultaneously in a hospital with a bi-layer discrete particle swarm optimization. Mathematical Biosciences and Engineering, 2019, 831-861
[6]    Wu Xiuli，Sun Yangjun. A green scheduling algorithm for flexible job shop with energy-saving measures [J]. Journal of Cleaner Production. 2018, 172:3249-3264
[7]    Wu Xiuli, Shen Xianli, Cui Qi. Multi-Objective Flexible Flow Shop Scheduling Problem Considering Variable Processing Time due to Renewable Energy[J]. Sustainability, 2018, 10(3):841.
[8]    XiuliWu, Shaomin Wu. An elitist quantum-inspired evolutionary algorithm for the flexible job-shop scheduling problem. Journal of Intelligent Manufacturing. 2015. DOI:10.1007/s10845-015-1060-6
[9]    Wu Xiuli; Liu Xiajing. An Improved Differential Evolution Algorithm for Solving a Distributed Flexible Job Shop Scheduling Problem. 2018 IEEE 14th International Conference on Automation Science and Engineering, IEEE CASE, Tech Univ Munich, Munich, Germany.968-973
[10] Xiuli Wu, Pietro Consoli, Leandro Minku, Gabriela Ochoa, Xin Yao. An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem.14th International Conference on Parallel Problem Solving from Nature, PPSN2016, Edingburg, UK, 2016.09.17-21