科研工作:

Morethan 20 publications (corresponding author is denoted as *). Some of them arelisted as:[1] X. Zhang and Z. Wu*, “Studyneighborhood field optimization algorithm on nonlinear sorptive barrierdesign problems,” Neural Computing and Applications, 28(4), pp. 783-795, 2017[2] R. Tang, Z. Wu*, and Y. Fang, “Adaptive multi-context cooperativelycoevolving particle swarm optimization for large-scale problems,” SoftComputing, vol. 22, no. 16, pp. 4735–4754, 2017[3] B Wang, Z. Wu, and X. Xia, A multistate-based control systemapproach toward optimal maintenance planning, IEEE Transactions on ControlSystems Technology 25 (1), pp. 374-381, 2017[4] Z. Wu, B. Wang, and X. Xia, "Large-scale building energyefficiency retrofit: Concept, model and control," Energy, 109, pp. 456-465,2016[5] R. Tang, Z. Wu*, and Y. Fang, “Maximum power point tracking oflarge-scale photovailtaic Array,” Solar Energy, 134, pp. 503-514, 2016[6] B Zhu, X Xia, and Z Wu, Evolutionary game theoretic demand-sidemanagement and control for a class of networked smart grid, Automatica, 70, pp.94-100, 2016[7] F Yang, J Mei, and Z Wu, Finite-time synchronisation of neuralnetworks with discrete and distributed delays via periodically intermittentmemory feedback control, IET Control Theory & Applications, 10 (14), pp. 1630-1640,2016[8] Z. Wu and X. Xia, “Optimal Switching Renewable Energy System forDemand Side Management,” Solar Energy, vol. 145, pp. 278-288, 2015[9] Z. Wu, H. Tazvinga, and X. Xia, “Demand Side Management ofPhotovoltaic-Battery Hybrid System,” Applied Energy, vol. 148, pp. 294-304,2015[10] Z. Wu, X. Xia and B. Wang, “Improving Building Energy Efficiency byMultiobjective Neighborhood Field Optimization,” Energy and Building, vol. 87,pp. 45-46, 2015

教育背景:

Sep. 2009-March 2013, PhD, Dept. ElectronicEngineering, City University of Hong Kong；Sep. 2007-June2009, Master, Dept. Automation, Wuhan University, China ; Sep. 2003-June2007, Bachelor, Dept. Automation, Wuhan University, China