梁靜(鄭州大學教授)

梁靜(鄭州大學教授)

梁靜,女,1981年6月生,博士,教授,碩士生導師。

基本介紹

  • 中文名:梁靜
  • 國籍中國
  • 民族
  • 出生日期1981年6月
  • 職業:鄭州大學教授
  • 畢業院校:新加坡南洋理工大學
人物經歷,研究方向,主要貢獻,

人物經歷

2003年於哈爾濱工業大學獲得本科學位,2009年於新加坡南洋理工大學(NanyangTechnological University)獲得博士學位。自2009年於鄭州大學電氣工程學院任教。

研究方向

演化計算的研究及套用。

主要貢獻

主持國家自然科學基金項目一項,博士後科學基金面上項目一項,博士後科學基金特別資助一項。發表SCI/EI收錄論文五十餘篇,GoogleCitation被引用總次數超過2000次。
兼任Computational Intelligence Magazine副編輯,IEEE Transactions On Evolutionary Computation、IEEE Transactions on Neural Networks、Swarm and Evolutionary Computation、Computational Optimization and Applications 、Applied Mathematics and Computation、Neurocomputing、International Journal of Engineering, Science and Technology 、Mathematical Problems in Engineering等多個國際期刊評審專家,是多個國際會議組織委員會委員。
IEEE會員,IEEE計算智慧型協會會員,IEEE計算智慧型協會Emergent Technology Technical Committee成員,鄭州大學博士後聯誼會副會長,新加坡南洋理工大學河南校友會秘書長,河南省青年科技工作者協會類別副秘書長。
主要論著:
B. Y. Qu, P. N. Suganthan & J. J. Liang , "DifferentialEvolution with Neighborhood Mutation for Multimodal Optimization,"IEEE Transactions on Evolutionary Computation, vol. 6(5), pp. 601-614, 2012.
J. J. Liang, P. N. Suganthan, A. K. Qin & S. Baska, "Comprehensive Learning ParticleSwarm Optimizer for Global Optimization of Multimodal Functions," IEEET ransactions on Evolutionary Computation,vol. 10(3), pp. 281 - 295,June 2006.
B.Y. Qu, J. J. Liang & P. N. Suganthan, "Niching Particle Swarm Optimization with Local Search forMulti-modal Optimization, "Information Sciences, vol. 197, pp.131-143, August 15, 2012.
J. J. Liang, Quan-Ke Pan Tiejun Chen & Ling Wang,"Solving the Blocking Flow Shop Scheduling problem by a DynamicMulti-swarm Particle Swarm Optimizer," InternationalJournal of Advanced Manufacturing Technology, vol. 55 (5-8), pp. 755-762 , July 2011.
Yu-Yan Han, J.J. Liang & Quan-KePan & Jun-QingLi, "Effective hybrid discrete artificial bee colony algorithms for the total flowtime minimization in the blocking flowshop problem, " InternationalJournal of Advanced Manufacturing Technology,Sept. 2012.
J. J. Liang, C. C. Chan, V. L. Huang & P. N. Suganthan, "Improving theperformance of a FBG sensor network using a novel dynamic multi-swarm particleswarm optimizer," Optoelectronics and Advanced Materials, Rapid-communications, 1(8), pp. 373-378, June 2007.
J. J. Liang, C. C. Chan, P. N. Suganthan & V. L. Huang, "Wavelength detection in FBG sensor network usingtree search DMS-PSO," IEEE Photonics Technology Letters, vol. 18(12), pp. 1305 - 1307,June 2006.
Quan-Ke Pan, P. N. Suganthan, J. J. Liang & M. Fatih Tasgetiren, “A local-best harmonysearch algorithm with dynamic sub-harmony memories for lot-streaming flow shopscheduling problem”, Expert Systems with Applications, vol.38 (4), pp.3252–3259, Apr. 2011.
Quan-Ke Pan, P. N. Suganthan, J. J. Liang & M. Fatih Tasgetiren, "A Local-BestHarmony Search Algorithm with Dynamic Subpopulations", Engineering Optimization, Vol. 42(2), pp. 101 - 117,October 2009.
Quan-Ke Pan, P.N. Suganthan, M. Fatih Tasgetiren & J.J. Liang, "A Self-AdaptiveGlobal Best Harmony Search Algorithm for Continuous Optimization Problems", Applied Mathematics and Computation, vol. 216(3), pp.830-848, Mar. 2010
Gao,Kai-Zhou, Pan, Quan-Ke, Li, Jun-Qing, Wang, Yu-Ting, Liang, Jing, "A Hybrid Harmony Search Algorithm For The No-Wait Flow-Shop Scheduling Problems.", Asia Pacific Journal of OperationalResearch, April 2012.
S. Baskar, A.Alphones, P. N. Suganthan & J. J. Liang, "Design of Yagi-Uda antennas using comprehensive learning particle swarm optimisation,"IEE Proc. on Antenna and Propagation, vol. 152( 5), pp. 340 - 346, Oct. 2005.

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