姓名谢丽萍性别女
职称副教授出生年月**
具体工作单位(008)计算机科学与技术学院
联系电话emaillipingxie1978@163.com
资料更新时间2016-03-23 11:26:56导师属性本校职工
指导研究生学科信息
(008)计算机科学与技术学院(081200)计算机科学与技术硕导人工智能；智能计算
课程及成果
导师简介谢丽萍，党员，博士，副教授。现就职于太原科技大学计算机科学与技术学院。1997.9-2001.7太原重型机械学院计算机科学及应用专业，获学士学位. 2003.9-2005.7太原科技大学系统计算机应用专业，获硕士学位. 2007.9-2010.12兰州理工大学控制理论与控制工程专业，获博士学位.2006年被评为太原科技大学十佳青年教师，在2006年和2010年计算机学院中青年教师教学基本功大赛中分别获得一等奖和二等奖。2011年12月被计算机学院评为“青年学术骨干教师”。
取得成果以第一作者发表论文发表学术论文20余篇，其中SCI收录的国际期刊论文3篇，EI收录的10余篇。2015年主持国家自然科学基金项目一项。2011年主持并完成山西省青年基金一项，2009年参与并完成山西省高等学校科技项目一项。(1) 专著：[1] 谢丽萍，拟态物理学启发的群智能方法，电子工业出版社，2015,12.[2] 参与编写国外著作一部。编写了与本项目相关的由Springer出版的书籍《Physicomimetics: Physics-Based swarm Intelligence》中的一章内容，章节如下：[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) 期刊论文：[1] 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. [2] 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.[3] 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.[4] 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.[5] 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.[6] 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.[7] 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.[8] 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.[9] 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.[10]谢丽萍, 曾建潮. 基于拟态物理学方法的全局优化算法[J], 计算机研究与发展, 2011,48(5):848-854.[11] 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.[12] 谢丽萍, 曾建潮. 受拟态物理学启发的全局优化算法[J], 系统工程理论与实践, 2010, 30(12):2276-2282.[13] 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. [14] 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.[15] 谢丽萍, 曾建潮. 面向群机器人目标搜索的拟态物理学方法[J], 模式识别与人工智能, 22(4): 647-652, 2009. [16]谢丽萍, 周中余, 张春梅, 等. 基于APO的群机器人目标搜索仿真系统设计[J]. 太原科技大学学报, 2012, 33(6): 415-420.[17]焦世民, 谢丽萍, 曾建潮. 一种基于拟态物理学的群集模型[J]. 复杂系统与复杂性科学, 2012,9(2):72-78.[18] 张斐，谢丽萍, 曾建潮，谭瑛.一种混合一维搜索的矢量拟态物理学算法[J]，太原科技大学学报，Vol.32，No.4，pp.337-341,2011.(3) 会议论文：[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.
主讲课程 1.编译原理（本科生教程）2.C++程序语言（本科生教程）3.面向对象程序设计（本科生教程）4. 信息保障与网络安全（本科生教程）
承担项目 [1] 基于物理学原理的群体智能行为涌现机制与群体智能算法研究，国家青年科学基金，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学优化方法研究，省青年科技研究基金，项目编号：-1，2011年1月至2013年12月，主持。[3] 群机器人目标搜索系统仿真, 山西省普通高等本科学校大学生创新性实验项目,2011年07月- 2013年07月, 指导教师。[4]基于项目任务驱动的程序设计类课程教学方法改革与实践, 2011年校级教研项目,第二负责人。
