一、個人簡介
謝麗萍,女,新澳门京葡萄威尼斯入口教授,博士,碩士生導師。
通訊地址:山西省太原市萬柏林區窊流路66号新澳门京葡萄威尼斯入口計算機學院
郵編:030024
辦公電話:0351-6998016
Email: lipingxie1978@163.com
二、學習和工作簡曆
1997/09--2001/07,太原重型機械學院,計算機系,獲工學學士學位
2003/09--2005/06,新澳门京葡萄威尼斯入口,新澳门京葡萄威尼斯入口,獲工學碩士學位
2007/09--2010/12,蘭州理工大學,電子信息學院,獲工學博士學位
2001/07--2006/08,新澳门京葡萄威尼斯入口,新澳门京葡萄威尼斯入口,助教
2006/09--2011/07,新澳门京葡萄威尼斯入口,新澳门京葡萄威尼斯入口,講師
2011/08—2016.12,新澳门京葡萄威尼斯入口,新澳门京葡萄威尼斯入口,副教授
2017/01--至今,新澳门京葡萄威尼斯入口,新澳门京葡萄威尼斯入口,教授
三、科研項目
[1] 基于物理學原理的群體智能行為湧現機制與群體智能算法研究,國家青年科學基金,2015年1月至2017年12月,主持。
[2] 模拟生物群集智能的拟态物理學優化方法研究,省青年科技研究基金,項目編号:2011021014-1,2011年1月至2013年12月,主持。
四、發表論著
(1) 專著:
[1] 謝麗萍,拟态物理學啟發的群智能方法,電子工業出版社,2015,12.
[2] 參與編寫國外著作一部。編寫了與本項目相關的由Springer出版的書籍《Physicomimetics: Physics-Based swarm Intelligence》中的一章内容,章節如下:
[1]LiPing Xie. Artificial Physics Optimization Algorithm for Global Optimization (Section 18), Physicomimetics:Physics-Based swarm Intelligence[M]. Springer, Verlag Berlin Heidelberg Press, 2011: 549-573.
(2) 期刊論文:
[1] Xie, L.P., Zeng, J.C. and Jiao S.M. Swarm Collective Behavior Driven by Artificial Physics. Int. J. Wireless and Mobile Computing, 2016, Vol.11, No.1, pp.68-74.
[2] Xie, L., Zeng, J. and Yang, Q. (2015) ‘A predictable artificial physics optimisation algorithm’, Int. J. Computing Science and Mathematics, Vol.6, No.5, pp.459–470.
[3] Xie, L.P., Zeng, J.C. and Yin, J. (2015) ‘Different force laws driving artificial physics optimisation algorithm for constrained optimisation problem’, Int. J. Wireless and Mobile Computing, Vol. 9, No. 3, pp.290–299.
[4] Liping Xie, Jianchao Zeng, Richard A. Formato.Convergence analysis and performance of the extended artificial physics optimization algorithm, Applied Mathematics and Computation,2011,218(8),4000-4011.
[5] Xie, L., Zeng, J. and Formato, R.A. (2012)‘Selection strategies for gravitational constant G in artificial physics optimisation based on analysis of convergence properties’, Int. J. Bio-Inspired Computation, Vol. 4, No. 6, pp.380–391.
[6] Xie Liping, Tan Ying, Zeng Jianchao, Cui Zhihua.Artificial physics optimization: a brief survey [J], International Journal of Bio-Inspired Computation, October 2010, 2(5): 291-302.
[7] Xie Liping, Yin Jian, Zhang Hongli, Tan Ying. Mass functions design of artificial physics optimisation algorithm for constrained optimisation problem, International Journal of Computer Applications in Technology, 2013, Vol.46, pp.220-227.
[8] Xie Liping, Yang Gangjun, Zeng Jianchao, Cui Zhihua. Swarm robots search based on artificial physics optimisation algorithm, International Journal of Computing Science and Mathematics, 2013,Vol.4, pp. 62-71.
[9] Xie Liping, Tan Ying, Zeng Jianchao, Cui Zhihua. The selection strategy of mass functions in artificial physics optimisation algorithm, International Journal of Modelling, Identification and Control, 2013,Vol.18, pp. 226-233.
[10] Xie, L., Yang, G. and Zeng, J. (2013) ‘The model of swarm robots search with local sense based on artificial physics optimisation’, Int. J. Computing Science and Mathematics, Vol. 4, No. 3, pp.222–230.
[11]謝麗萍, 曾建潮. 基于拟态物理學方法的全局優化算法[J], 計算機研究與發展, 2011,48(5):848-854.
[12] Xie Liping, Tan Ying, Zeng Jianchao, Cui Zhihua. The convergence analysis of artificial physics optimisation algorithm[J], Int. J. of Intelligent Information and Database Systems, Vol. 5, No. 6, pp.536-554, 2011.
[13] 謝麗萍, 曾建潮. 受拟态物理學啟發的全局優化算法[J], 系統工程理論與實踐, 2010, 30(12):2276-2282.
[14] Xie, L.P., Zeng, J.C. The Performance Analysis of Artificial Physics Optimization Algorithm Driven by Different Virtual Forces[J], ICIC Express Letters (ICIC-EL), 2009,4(1):239-244.
[15] Xie Liping, Zeng Jianchao, Cui Zhihua.On mass effects to artificial physics optimization algorithm for global optimization problems[J], International Journal of Innovative Computing and Applications (IJICA), 2009,2(2):69-76.
[16] 謝麗萍, 曾建潮. 面向群機器人目标搜索的拟态物理學方法[J], 模式識别與人工智能, 22(4): 647-652, 2009.
[17]謝麗萍, 周中餘, 張春梅, 等. 基于APO的群機器人目标搜索仿真系統設計[J]. 新澳门京葡萄威尼斯入口學報, 2012, 33(6): 415-420.
[18]焦世民, 謝麗萍, 曾建潮. 一種基于拟态物理學的群集模型[J]. 複雜系統與複雜性科學, 2012,9(2):72-78.
[19] 張斐,謝麗萍, 曾建潮,譚瑛.一種混合一維搜索的矢量拟态物理學算法[J],新澳门京葡萄威尼斯入口學報,Vol.32,No.4,pp.337-341,2011.
(3) 會議論文:
[1] Xie, L.P., Zeng, J.C. and Cai X.J. A hybrid vector artificial physics optimization with multi-dimensional search method, Proceedings-2011 2nd International Conference on Innovations in Bio-Inspired Computing and Applications, 2011, pp.116-119.
[2] Xie, L.P., Zeng, J.C. A Hybrid Vector Artificial Physics Optimization for Constrained Optimization Problems, Proceedings - 1st International Conference on Robot, Vision and Signal Processing, 2011, pp.145-148.
[3] Xie, L.P., Zeng, J.C. A study on the effect of Vmax in Artificial physics optimization algorithm with high dimension, Proceedings of the 2011 International Conference of Soft Computing and Pattern Recognition, 2011, pp.550-555.
[4] Xie Liping, Tan Ying, Zeng Jianchao The Convergence Analysis and Parameter Selection of Artificial Physics Optimization Algorithm[A], The 2010 International Conference on Modelling, Identification and Control (ICMIC) [C], Okayama, 17-19 July 2010, pp:562-567.
[5] Xie, L.P., Zeng, J.C. A Global Optimization Based on Physicomimetics Framework[A], The 2009 World Summit on Genetic and Evolutionary Computation (2009 GEC Summit)[C], Shanghai, 2009, pp.609-616.
[6] Xie Liping, Zeng Jianchao, Cui Zhihua. Using Artificial Physics to Solve Global Optimization Problems[A], The 8th IEEE International Conference on Cognitive Informatics (ICCI’09)[C], Hongkong, 2009, pp.502-508.
[7] Xie Liping, Zeng Jianchao. An extended artificial physics optimization algorithm for global optimization problems[A], Proceedings of Fourth International Conference on Innovative Computing, Information and Control (ICICIC 2009) [C], Kaohsiung, Taiwan, December, 2009.
[8] Xie Liping, Zeng Jianchao, Cui Zhihua.The vector model of artificial physics optimization algorithm for global optimization problems[A], Proceedings of the 10th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2009) [C], Spain, pp.610-617, September, 2009.
[9] Xie Liping, Zeng Jianchao, Cui Zhihua. General framework of artificial physics optimization algorithm[A], Proc. of the World Congress on Nature and Biologically Inspired Computing (NaBIC'09) [C], Coimbatore, India, December, pp. 1321-1326.
[10] Yin Jian,Xie Liping, Zeng Jianchao,Tan Ying. Artificial Physics Optimization Algorithm with a feasibility-based rule for constrained optimization problems[A],Proceedings of the 2010 International Conference on Intelligent Computing and Intelligent System(ICIS 2010) [C], Xiamen,China, pp.488-492,2010.
五、教學工作
1. 教學項目
[1]利用慕課資源實施項目驅動的翻轉課堂教學模式探究,2016年校級教研項目,負責人。
[2] 基于webshell的校園網絡安全系統, 2016年校級大學生創新性實驗項目, 指導教師。
[3] 網絡安全掃描系統的設計與實現, 2016年校級大學生創新性實驗項目, 指導教師。
[4]群機器人目标搜索系統仿真, 山西省普通高等本科學校大學生創新性實驗項目,2011年07月- 2013年07月, 指導教師。
[5]基于項目任務驅動的程序設計類課程教學方法改革與實踐, 2011年校級教研項目,第二負責人。
2. 獲獎
(1)2006年計算機學院中青年教師教學基本功大賽中獲得一等獎;
(2)2006年在山西省中青年教師教學基本功大賽中獲三等獎;
(3)2010年計算機學院中青年教師教學基本功大賽中獲得二等獎;
(4)2012年計算機學院中青年教師教學基本功大賽中獲得一等獎;
(5)2012年新澳门京葡萄威尼斯入口中青年教師教學基本功大賽中獲得三等獎。
(6)2011年12月被計算機學院評為“青年學術骨幹教師”。
(7)2006年,被評為新澳门京葡萄威尼斯入口十佳青年教師。
(8)指導學生榮獲2012年“藍橋杯”全國軟件專業人才設計與創業大賽 山西賽區 C/C++程序設計本科組一等獎
(9)指導學生榮獲2012年“藍橋杯”全國軟件專業人才設計與創業大賽 山西賽區 C/C++程序設計本科組二等獎
(10)指導學生榮獲2012年“藍橋杯”全國軟件專業人才設計與創業大賽 全國總決賽 C/C++程序設計本科組三等獎
(11)指導學生榮獲2016年第七屆藍橋杯全國軟件和信息技術專業人才大賽三等獎,并獲得2016年第七屆藍橋杯全國軟件和信息技術專業人才大賽優秀指導教師
3. 課程
信息保障與網絡安全,編譯原理,C++語言程序設計,面向對象程序設計