Publications: 1.Liu, Yaolin;Wang, Hua;Ji, Yingli;Liu, Zhongqiu;Zhao, Xiang, 2012, Land Use Zoning at the County Level Based on a Multi-Objective Particle Swarm Optimization Algorithm: A Case Study from Yicheng, China, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 9(8), pp 2801-2826. 2.LIU Yaolin,WANG Hua,TANG Xu,LIU Zhongqiu.2013,Construction of Business Ontology and Workflow Model for Land Consolidation Projects Management, Geomatics and Information Science of Wuhan University, 38(4), pp 493-497. 3.Wang Hua, Liu Yaolin, Ji Yingli,2012. Land use zoning model based on multi-objective particle swami optimization algorithm, Transactions of the Chinese Society of Agricultural Engineering, 28(12), pp 237-244. 4.WANG Hua, GUO Yangjie, HONG Song, NIU Beibei.2013,Spatial Pattern Characteristics of Aerosol Optical Depth in a Region Based on Spatial Autocorrelation, Geomatics and Information Science of Wuhan University, 38(7), pp 869-874. 5.LIU Yao-lin, WANG Hua, TANG Xu, LIU Zhong-qiu, JI Ying-li, 2012. Dynamic Management Information System Design and Application for Provincial Land Consolidation Projects, China Land Sciences, 26(06), pp 48-54. 6.WANG Hua, LIU Yao-lin, LIU Zhong-qiu, 2013. Management Model for Land Consolidation Project Based on Six-Tuple Array, China Land Sciences, 27(4), pp 60-65+97. 7.WANG Hua, ZHU Fubao, 2013. Design and Application of Province Level Land Consolidation Project Management Database, Bulletin of Surveying and Mapping, 9, pp 70-74. 8.WANG Hua, Gan Fang, 2013. The Cultivated Land Use Zoning in Jianghan Plain Based on Lorenz Curve and Landscape Pattern Indices, TERRITORY & NATURAL RESOURCES STUDY, 3, pp 39-42. 9.Zhongqiu Liu, Hua Wang, Yangjie Guo,Yanlin Liu, 2012, Multi-level and integrated total water use dynamic control mode of Yangtze River basin, Geomatics for Integrated Water Resources Management,2012 International Symposium on Date of Conference, 2012/10/19-2012/10/21, China |
Projects Undertaken: 1. Open Research Fund Program of Key Laboratory of Digital Mapping and Land Information Application Engineering,National Administration of Surveying, Mapping and Geoinformation (Domain knowledge -driven spatial location and its particle swarm optimization algorithm, No. GCWD201404), 2015/1-2017/12, Host. 2. Project supported by the National Natural Science Foundation of China (Unstructured land evaluation rules mining based on computational intelligence and spatial relation constraint, No. 41171312), 2012/01-2015/12, participant. 3. Youth Science Fund project of National Natural Science Fund (Research on adaptive immune-based optimization theory and algorithm in dynamic environment, No. 61403349), 2015/1-2017/12, participant. 4. PhD research funded project from Zhengzhou University of Light Industry (ImprovementofCAModelinthe Parallel Simulation of Land Use Change), Host. |