J. Zhong, Y.-S. Ong, and W. Cai, “Self-Learning Gene Expression Programming,” IEEE Transactions on Evolutionary Computation, Vol.20, No. 1, pp.65-80, 2016. [Link] [Code]
J.Zhong, L. Feng, W. Cai, and Y.-S. Ong, “Multifactorial Genetic Programming for Symbolic Regression Problems,” IEEE Transactions on Systems, Man, And Cybernetics: Systems, vol. 50, no. 11, pp. 4492-4505, Nov. 2020, doi: 10.1109/TSMC.2018.2853719. [Link] [Code]
Y. Chen, J. Zhong*, L. Feng, and J. Zhang, “An Adaptive Archive-based Evolutionary Framework for Many-task Optimization,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, Accepted. [Link] [Code]
C. Lu, J. Zhong*, Y. Xue, L. Feng, and J. Zhang, “Ant Colony System with Sorting-based Local Search for Coverage-based Test Case Prioritization”, IEEE Transactions on Reliability, 2019, Accepted. [Link]
J. Zhong, L. Feng, and Yew-Soon, Ong, “Gene Expression Programming: A Survey,” IEEE Computational Intelligence Magazine, 12(3):54-72, 2017 [Link]
L. Feng, L. Zhou, J. Zhong, A. Gupta, Y-S. Ong, K.C. Tan and A. K. Qin, “Evolutionary Multitasking via Explicit Autoencoding,” IEEE Transactions on Cybernetics, In Press 2018 [Link]
Q. Xiao, J. Zhong*, L. Feng, L. Luo, J. Lv, “A Cooperative Coevolution Hyper-Heuristic Framework for Workflow Scheduling Problem,” IEEE Transactions on Services Computing, 2019, Accepted. [Link]
J. Zhong, W. Cai, M. Lees, L. Luo, “Automatic Model Construction for the Behaviour of Human Crowds,” Applied Soft Computing, Vol.56, pp.368-378, July, 2017. [Link]
Y. Xue, J. Zhong*, Tian Huat Tan, Yang Liu, Wentong Cai, Manman Chen, Jun Sun, “IBED: Combining IBEA and DE for Optimal Feature Selection in Software Product Line Engineering,”Applied Soft Computing, Vol.49, pp.1215-1231, 2016. [Link]
J. Zhong, Wentong Cai, Linbo Luo, Mingbi Zhao, “Learning behavior patterns from video for agent-based crowd modeling and simulation,” Autonomous Agents and Multi-Agent Systems, Vol.30, No.5, pp.990-1019, 2016. [Link]
J. Zhong, and W. Cai, “Differential Evolution with Sensitivity Analysis and the Powell’s Method for Crowd Model Calibration,” Journal of Computational Science, 2015, Vol.9, pp. 26-32, 2015. [Link]
J. Zhong, N. Hu, W. Cai, M. Lees, and L.B. Luo, “Density-Based Evolutionary Framework for Crowd Model Calibration,” Journal of Computational Science, Vol.6, pp. 11-22, 2015. [Link]
J. Zhong, M. Shen, J. Zhang, H. H. Chung, Y. H. Shi, and Y. Li, “A Differential Evolution Algorithm with Dual Populations for Solving Periodic Railway Timetable Scheduling Problem,” IEEE Transactions on Evolutionary Computation, Vol. 17, No. 4, pp.512-527, August 2013. [Link]
M. Zhao, J. Zhong, and W. Cai, “A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling,”ACM Transactions on Modeling and Computer Simulation, In press 2018. [Link]
