基本介紹
- 中文名:劉宇
- 國籍:中國
- 出生日期:1977年9月
- 職業:大連理工大學教授
- 主要成就:參與科研項目,發表了很多論文
人物簡介
學習及工作經歷
研究領域
參與科研項目
[1] 強勢粒子群算法在醫學圖像彈性配準中的套用研究,國家自然科學基金項目(編號:60673024),2007.01-2009.12;
[2]智慧型設計理論與方法研究,國家973重點基礎研究發展規劃資助子項目(編號:2004CB719401),2005.01-2009.12;
[3]地面慢速集群目標跟蹤系統,國防十一五預言項目,2006.01-2009.12;
[4]柔性軟體體系結構形式化描述方法研究 (編號:60542004) 國家自然科學基金項目,2006.01-2006.12;
[5]MES為核心的數字油田關鍵技術及套用研究,國家863高技術研究發展計畫基金項目(編號:2003AA412020),2004.01-2006.12;
[6]複雜信息環境下智慧型決策融合技術研究,國防十五預研項目(編號:102010306),2003.01-2005.12。
發表論文
[2] Yu Liu(劉宇), Zheng Qin, Zhewen Shi, Junying Chen. Training Radial Basis Function Networks with Particle Swarms, Lecture Notes in Computer Science, 2004, 3173, 317-322.
[3] Yu Liu(劉宇), Zheng Qin, Zenglin Xu, Xingshi He. Feature Selection with Particle Swarms, Lecture Notes in Computer Science, 2004, 3314, 425-430.
[4] Yu Liu(劉宇), Zheng Qin, Zhewen Shi, Junying Chen. Rule Discovery with Particle Swarm Optimization, Lecture Notes in Computer Science, 2004, 3309, 291-296.
[5] 劉宇, 覃征, 史哲文, 盧江. 多模態粒子群集成神經網路. 計算機研究與發展. 2005, 42(9):1519-1526.
[6] 劉宇,覃征,等.簡約粒子群最佳化算法.西安交通大學學報. 2006, 40(8).pp.883-887.
[7] Yu Liu(劉宇), Zheng Qin, Xianghua Wang, et al. Momentum Particle Swarm Optimization. Journal of System Engineering and Electronics. 2005,16(4),941-946.
[8] Yu Liu(劉宇), Zheng Qin, et al. Supervisor-Student Model in Particle Swarm Optimization. Proceedings of the 2004 IEEE Congress on Evolutionary Computation. Portland, USA: IEEE Press, 2004, 542-547.
[9]Yu Liu(劉宇), Zheng Qin, et al. Hybrid Particle Swarm Optimizer with Line Search. IEEE International Conference on Systems, Man and Cybernetics. Hague, Netherlands: IEEE Press, 2004, 3751-3755.
[10]Yu Liu(劉宇), Zheng Qin, et al. Using Relaxation Velocity Update Strategy to Improve Particle Swarm Optimization. Proceeding of the Third IEEE International Conference on Machine Learning and Cybernetics. Shanghai, China: IEEE Press, 2004, 2469-2472.
[11] Yu Liu (劉宇), Zheng Qin, Xianghua Wang, Adaptive multi-granularity partition to divide and conquer paradigm in grid environment by cloning mobile agent, International conference on parallel algorithms and computing environment (ICPACE2003), HongKong, 2003.10,pp.111-114.