NKU College of Economic and Social Development
Research & Faculty
Jianhua Xiao

Professor, Director of Logistics Center

jhxiao@nankai.edu.cn

Office Hours:By Appointment

CV Website:https://nku-esd.nankai.edu.cn/info/1077/1322.htm

 

Ph.D. in System Engineering, Huazhong University of Science and Technology

 

Fields：Logistics System Optimization

Jianhua Xiao is a Professor of Logistics at Nankai University. He holds a Ph.D. in system engineering from the Huazhong University of Science and Technology, China, in 2008. He joined the Nankai faculty in 2008. His research focuses on logistics system optimization and bio-inspired algorithms, especially on optimization of large-scale urban logistics, based on the data-driven approaches. He has published five books and about fifty papers in SCI journals. In additional to the academic research endeavors, he has also been following the logistics development in China with a group of colleagues at the Research Center of Logistics. 

Thesis monograph
publications Grants Awards Service Teaching

[1] An Evolutionary Multi-objective route grouping based heuristic algorithm for large-scale capacitated vehicle routing problems. IEEE Transactions on Cybernetics, 2021, 51(8): 4173-4186.

[2] An adaptive quantum swarm evolutionary algorithm for partner selection in virtual enterprise. International Journal of Production Research, 2014, 529(6): 1607-1621.

[3] A dual-population based evolutionary algorithm for multi-objective Location problem under uncertainty of facilities. IEEE Transactions on Intelligent Transportation System, 2022, 23(7): 7692-7707.

[4] A clustering-based surrogate-assisted multi-objective evolutionary algorithm for shelter location under uncertainty of road networks. IEEE Transactions on Industrial Informatics, 2020,16(12):7544-7555.

[5] (2021) A coevolutionary framwork for constrained multi-objective optimization problems. IEEE Transactions on Evolutionary Computation, , 25(1): 102-116.

[6] A pairwise proximity learning-based ant colony algorithm for dynamic vehicle routing problems. IEEE Transactions on Intelligent Transportation System, 2022, 23(6): 5257-5286.

[7] An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand. Knowledge-Based Systems, 2021, 230(10): 1-19.

[8] Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem.Information Sciences，2022:1-16.

[9] Feature construction for meta-heuristic algorithm recommendation of capacitated vehicle routing problems.ACM Transactions on Evolutionary Learning and Optimization,2021,1-29.

[10] Xiao, J. H., Wu, X. F., Liu, B. L., et. al. Contemporary Logistics in China: Revitalization Amidst the COVID-19 Pandemic. Springer, 2022


[1] The distribution optimization of the low-carbon logistics in megacities based on the learning membrane algorithm. National Natural Science Foundation of China, 2020

[2]  The dynamic adaptive membrane evolutionary collaborative optimization algorithm based on the hormone regulation and its application, National Natural Science Foundation of China, 2017

[3]  Membrane collaborative optimization self-assembly encoding algorithm based on the dynamic membrane computing framework, National Natural Science Foundation of China, 2013

[4]  Logistics and Supply Chain Management, the Fundamental Research Funds for the Central Universities, 2015


 Tianjin's "131" innovative talent project, second level, 2015


[1] Member of Systems Engineering Society of China

[2]  Member of china society of logistics


[1] Undergraduate courses taught

    Design and Application of MATLAB

[2] Postgraduate courses taught

     Logistics Algorithm and Computer Application

     Thesis Writing and Academic

     The Case of Logistics

[3] Ph.D courses taught

     Frontiers of Logistics

     Logistics System Optimization and Modelling

     Frontiers Literatures on Logistics