通译百科：梁静

获国家发明专利2项、授权软件著作权5项。科研成果先后获得教育部自然科学二等奖，河南省科学进步二等奖，河南省教育厅科技成果一等奖等奖项。梁静教授还获得国际学术组织和河南省颁发的一系列奖励和荣誉称号，如2014 IEEE CIS Outstanding PhD Dissertation Award获得者、河南省高层次人才、河南省青年五四奖章、河南省青年科技奖、中原.....计划-中原青年拔尖人才等。

梁静主要贡献

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主持国家自然科学基金优秀青年科学基金项目一项、面上项目两项、青年项目一项、中国博士后特别资助项目一项。

兼任IEEE Transactions on Evolutionary Computation , Swarm and Evolutionary Computation , Computational Intelligence Magazine Associate Editor ，IEEE Transactions on Neural Networks、Computational Optimization and Applications 、Applied Mathematics and Computation、Neurocomputing、International Journal of Engineering, Science and Technology 、Mathematical Problems in Engineering等多个国际期刊评审专家，是多个国际会议组织委员会委员。

IEEE会员，IEEE计算智能协会会员，IEEE计算智能协会Emergent Technology Technical Committee成员，河南省青年科技工作者协会会长，河南省侨联青年委员会副会长。

主要论著：

C. T. Yue, B. Y. Qu, K. J. Yu, J. J. Liang* and X. D. Li, “A novel scalable test problem suite for multimodal multiobjective optimization,” Swarm Evolutionary and Computation. vol. 48, pp. 62-71, 2019.

C. T. Yue, J. J. Liang*, B. Y. Qu, Y. H. Han, Y. S. Zhu and O. D. Crisalle, “A novel multiobjective optimization algorithm for sparse signal reconstruction,” Signal Processing, vol. 167: 107292, 2020.

K. J. Yu, B. Y. Qu, C. T. Yue, S. L. Ge, X. Chen and J. J. Liang*, “A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module”, Applied Energy, vol. 237, no. 2019, pp. 241-257.

Y. Hu, J. Wang, J. J. Liang*, K. J. Yu, H. Song, Q. Q. Guo, C. T. Yue and Y. L. Wang. “A self-organizing multimodal multi-objective pigeon-inspired optimization algorithm,” SCIENCE CHINA Information Sciences, 62(5), pp. 070206:1-070206:17, 2019.

C. T. Yue, B. Y. Qu, and J. J. Liang*, “A multiobjective particle swarm optimizer using ring topology for solving multimodal multiobjective problems”, IEEE Transactions on Evolutionary Computation, vol. 22, no. 5, pp. 805-817, 2018.

J. J. Liang, W. W. Xu, C. T. Yue, K. J. Yu, H. Song, O. C. Crisalle and B. Y. Qu, “Multimodal multiobjective optimization with differential evolution”, Swarm and Evolutionary Computation, vol. 44, pp. 1028-1059, 2018.

K. J. Yu, J. J. Liang*, B. Y. Qu, Z. P. Cheng and H. S. Wang, “Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models”, Applied Energy, vol. 226, no. 2018, pp. 408-422.

B. Y. Qu, Y. S. Zhu, Y. C. Jiao, M. Y. Wu, J. J. Liang*, P. N. Suganthan, “A Survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems”, Swarm and Evolutionary Computation, vol. 38, pp. 1-11, 2018.

B. Y. Qu, Q. Zhou, J. M. Xiao, J. J. Liang*, P. N. Suganthan, “Large-scale portfolio optimization using multiobjective evolutionary algorithms and preselection methods.” Mathematical Problems in Engineering, pp. 1-14, 2017.

K. J. Yu, J. J. Liang*, B. Y. Qu, X. Chen, and H. S. Wang, Parameters identification of photovoltaic models using an improved JAYA optimization algorithm, Energy Conversion and Management, vol. 150, pp. 742-753, 2017.

B.Y. Qu, J. J. Liang*, Y.S. Zhu and P.N. Suganthan, “Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method,” Natural Computing, pp. 1-9, 2017.

B.Y. Qu, J.J. Liang*, Y.S. Zhu, Z.Y. Wang and P.N. Suganthan, “Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm,” Information Sciences, vol. 351, pp. 48-66, 2016.

B. Y. Qu, B. F. Lang, J. J. Liang*, A. K. Qin and O. D. Crisalle, “Two-hidden-layer extreme learning machine for regression and classification,” Neurocomputing, vol. 175, pp. 826-834, 2016.

B. Y. Qu, J. J. Liang*, Z. Y. Wang, Q. Chen, P. N. Suganthan, “Novel benchmark functions for continuous multimodal optimization with comparative results,” Swarm and Evolutionary Computation, vol. 26, pp. 23-34, 2016.

J. J. Liang, B. Y. Qu, X. B. Mao, B. Niu, D.Y. Wang, “Differential evolution based on fitness euclidean-distance ratio for multimodal optimization, ” Neurocomputing, vol. 137, pp. 252-260, 2014.

B. Y. Qu, P. N. Suganthan and J. J. Liang, “Differential evolution with neighborhood mutation for multimodal optimization,” IEEE Transactions on Evolutionary Computation, vol. 6, no. 5, pp. 601-614, 2012.

B. Y. Qu, J. J. Liang, P. N. Suganthan, “Niching particle swarm optimization with local search for multi-modal optimization,” Information Sciences, vol. 197, pp. 131-143, 2012 .

J. J. Liang, Q. K. Pan, T. J. Chen, L. Wang, “Solving the blocking flow shop scheduling problem by a dynamic multi-swarm particle swarm optimizer,”International Journal of Advanced Manufacturing Technology, vol. 55 (5-8), pp. 755-762, 2011.

J. J. Liang, C. C. Chan, P. N. Suganthan, V. L. Huang, “Wavelength detection in FBG sensor network using tree search DMS-PSO,”IEEE Photonics Technology Letters, vol. 18(12), pp. 1305 - 1307, 2006.

J. J. Liang, P. N. Suganthan, A. K. Qin, S. Baska, “Comprehensive learning particle swarm optimizer for global optimization of multimodal functions,” IEEE Transactions on Evolutionary Computation, vol. 10(3), pp. 281 - 295 June 2006.

V. L. Huang, P. N. Suganthan, J. J. Liang, “Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems,” International Journal of Intelligent Systems, vol. 21, no. 2, pp. 209-226, 2006.

J. J. Liang, S. Baskar, P. N. Suganthan, A. K. Qin, “Performance evaluation of multiagent genetic algorithm,” Natural Computing, vol. 5, no. 1, pp. 83-96(14), 2006.

S. Baskar, A. Alphones, P. N. Suganthan, J. J. Liang, “Design of Yagi-Uda antennas using comprehensive learning particle swarm optimisation,” IEE Proceedings on Microwaves, Antenna and Propagation, vol. 152, no. 5, pp. 340-346,2005.

梁静，刘睿，于坤杰，瞿博阳,求解大规模问题协同进化动态粒子群优化算法. 软件学报, 2018(9): 2595-2605.

梁静，郭倩倩，岳彩通，瞿博阳，自组织多目标粒子群优化算法，计算机应用研究. 2019, 36 (8): 1-8.

梁静，刘睿，瞿博阳，岳彩通，进化算法在大规模优化问题中的应用综述，郑州大学学报(工学版),2018, 39(3): 15-21.

毛晓波, 梁静, 黄俊杰，研究生“智能仪器与仪表”课程教改探索，电气电子教学学报, 2012, 03: 50-51.

梁静，周钦亚，瞿博阳，宋慧，基于混合策略的差分进化算法，郑州大学学报(工学版)，2013, 34(5): 59-62.

梁静,宋慧,瞿博阳，基于改进粒子群算法的路径优化问题研究，郑州大学学报(工学版), 2014, 35(1): 34-38.

梁静，宋慧，王龙，瞿博阳，多目标优化在中央空调节能优化系统中的应用，计算机仿真，2015, 32(06): 302-307.

梁静，瞿博阳，宋慧，刘巍，电业超短期负荷预测仿真研究，计算机仿真，2015, 32(07): 96-101.

瞿博阳，梁静*，王忠勇，郭丽，模式识别双语教学中学生科研素质的提升，计算机教育2015, (12):1-3.

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