Hi, I am Qingzheng Xu, My LiveDNA is 86.416
Dr. Qingzheng Xu
Highest Degree: Ph.D. in Control Theory and Engineering from Xi`an University of Technology, Xi`an, China
Institute: Xi`an Communication Institute, China
Area of Interest: Computer Sciences
  •   Artificial Intelligence
  •   Autonomous Robot
  •   Control Theory and Application
  •   Nature Computing
URL: http://livedna.org/86.416
My SELECTED Publications
1:   Li, Z., W. Lei and X. Qing-zheng, 2012. Nearest Neighbor Rule Condensation Algorithm Based on Artificial Endocrine System. J. App. Sci., 30: 397-407.
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2:   Wang, L. and Q. Xu, 2010. GPS-free localization algorithm for wireless sensor networks. Sensors, 10: 5899-5926.
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3:   Wang, L., H. Ji and Q. Xu, 2008. A dynamic clustering analysis based on artificial immune particle swarm optimization algorithm. J. Xi'an Univ. Technol., 24: 390-394.
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4:   Wang, N., Q. Xu and J. Zhang, 2009. Predication based immune network for multimodal function optimization. J. Xi'an Commun. Instit., 80: 65-69.
5:   Wang, N., Q. Xu and L. Peng, 2012. Heavy metals contamination in urban topsoil. Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, May 29-31, 2012, Chongqing, China, pp: 2700-2705.
6:   Wang, N., Q. Xu and Y. Zhang, 2012. Mathematical Modelling and Solution of Pipeline Laying Problem. Int. J. of Simul. Process Modell., 7: 16-22.
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7:   Wang, Z., D. Cui and Q. Xu, 2011. Artificial endocrine system and its application for nearest neighbor rule condensation. Inform. Technol. J., 10: 2004-2013.
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8:   Xu, Q. and K.E. Xi-Zheng, 2008. Genetic algorithm analysis for shortest path. Comput. Eng. Des., 29: 1507-1509.
9:   Xu, Q. and K.E. Xi-Zheng, 2009. Models and genetic algorithm for designated-points shortest path problem. Syst. Eng. Electron., 31: 459-462.
10:   Xu, Q. and L. Wang, 2011. An adaptive target tracking scheme for wireless sensor networks. ICIC Express Lett., 5: 2157-2163.
11:   Xu, Q. and L. Wang, 2011. Recent Advances in the Artificial Endocrine System. J. Zhejiang Univ. Sci. C (Comput. Electron.), 12: 171-183.
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12:   Xu, Q., N. Wang and R. Fei, 2013. Influence of Dimensionality and Population Size on Opposition-based Differential Evolution Using the Current Optimum. Inf. Technol. J., 12: 105-112.
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13:   Xu, Q., L. Wang and J. Si, 2010. Predication based immune network for multimodal function optimization. Eng. Appl. Artificial Intel., 23: 495-504.
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14:   Xu, Q., L. Wang, B. He and N. Wang, 2011. Modified opposition-based differential evolution for function optimization. J. Computat. Inf. Syst., 7: 1582-1591.
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15:   Xu, Q., N. Wang and H. Shi, 2012. A review of croston's method for intermittent demand forecasting. Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, May 29-31, 2012, Chongqing, China, pp: 1468-1472.
16:   Xu, Q.Z. and W. Lei, 2011. Lattice-based artificial endocrine system model and its application in robotic swarms. Sci. China Inform. Sci., 54: 795-811.
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17:   Xu, Q.Z., L. Wang, B.M. He and N. Wang, 2011. Opposition-based differential evolution using the current optimum for function optimization. J. Applied Sci., 29: 308-315.
18:   Zhao, L., L. Wang and Q. Xu, 2012. Data stream Classification with Artificial Endocrine System. Appl. Intell., 37: 390-404.
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