所在单位： 电气工程学院
学历： 博士研究生毕业
办公地点： 西南交通大学电气馆
联系方式：
学位： 工学博士学位
职称： 教授
电子邮箱： zhgxdylan@126.com

个人简介
研究方向
教育经历
工作经历
团队成员
联系方式
张葛祥：男，1974年出生，博士、教授、博士生导师
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2019年入选IET Fellow和IEEE高级会员
2018年获四川省科技进步三等奖
2018年起任Springer出版国际期刊JMC执行主编
2017年获四川省科技进步（自然科学类）二等奖
2016年起担任国际膜计算学会主席
2015-2016在美国New York大学作访问****
2014年在西班牙Seville大学作高级访问****
2011年入选教育部新世纪优秀人才支持计划
2011年入选“西南交通大学高层次教师队伍建设系列计划”之“扬华之星”
2010年入选四川省第九批学术与技术带头人后备人选
2009年入选四川省****学科带头人培养计划
2009年遴选为博士研究生导师
2008年入选“西南交通大学高层次教师队伍建设系列计划”之“竢实之星”
2007-2008年在英国Sheffield大学作访问****
2007年获四川省优秀博士学位论文奖
2006年获西南交通大学优秀博士学位论文奖
2006年遴选为硕士研究生导师
2005年起担任西南交通大学电气工程学院教授


生物计算：膜计算，进化计算，神经计算，DNA计算等
大数据：学习与推理、认知计算、知识发现等
机器人学：特殊行业巡检智能机器人、特殊行业作业智能机器人、自主导航、环境感知等
人工智能：深度学习、自主智能系统、大数据智能、自主协同与决策等

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所在单位： 电气工程学院
学历： 博士研究生毕业
办公地点： 西南交通大学电气馆
联系方式：
学位： 工学博士学位
职称： 教授
电子邮箱： zhgxdylan@126.com



科学研究
当前位置: 中文主页 >> 科学研究

科研项目 1. 作为主持人承担的主要科研项目：
（12）移动机器人控制膜计算模型构建机制，国家自然科学基金项目，2020--2023
（11）变电站110kV隔离开关带电拆接机器人研发，企业委托项目，2017/11--2019/12
（11）城市输气管网维护机器人研发及制造，中国制造2025四川行动资金项目，2016/03--2019/08
（10）新型计算模型的FPGA高效实现及在机器人中的应用, 四川省科技计划重点研发项目，2018--2020
（9） 大熊猫生态系统膜计算模型建模机制研究, 国家自然科学基金项目, 2017--2020
（8） 问题驱动膜计算模型的自主演化设计与建模机制, 国家自然科学基金项目, 2014--2017
（7） 问题驱动膜计算模型自主演化设计方法研究, 四川省学术和技术带头人培养资金, 2013--2014
（6） 进化膜计算机理与模型研究, 国家自然科学基金项目, 2012--2015
（5） 膜计算模型及其硬件实现原理与方法研究, 教育部新世纪优秀人才支持计划项目, 2012--2014
（4） 膜算法动态模型及其在信号处理中的应用, 教育部留学回国人员科研启动基金项目, 2011--2013
（3） 基于生物细胞的计算模型研究, 四川省学术和技术带头人培养资金, 2012--2013
（2） 复杂体制雷达辐射源信号分选识别模型与算法研究，四川省青年科技基金项目, 2009--2011
（1） 复杂体制雷达辐射源信号本征时频原子特征挖掘模型与算法, 国家自然科学基金项目, 2008--2010
2. 课题组成员作为主持人承担的主要科研项目：
（3）电力网络智能化关键技术研究及应用示范，2018年四川省新一代人工智能重大科技专项，2018.09--2020.08
（2）面向电网连锁故障的脉冲神经膜计算模型建模机制研究，国家自然科学基金青年基金项目, 2018--2020
（1）复杂动态环境智能感知关键技术及应用，四川省科技计划重点研发项目，2018--2020
3. 作为主研人员承担的主要科研项目：
（5） 基于监测数据的高速列车服役安全性态评估的关键问题研究, 国家自然科学基金重点项目, 2012--2016
（4） 复杂体制雷达辐射源信号特征评价机制, 国家自然科学基金项目, 2010--2012
（3） 电力系统故障预测与诊断, 中央高校基本科研业务费专项资金, 2011--2013
（2） 智能电网关键技术, 中央高校基本科研业务费专项资金, 2009--2011
（1） 复杂体制雷达辐射源信号分选识别机理与模型, 国家自然科学基金项目, 2006--2008

著作成果 著作
[2] Gexiang Zhang, Mario J. Pérez-Jiménez, Marian Gheorghe. Real-life applications with membrane computing, Springer, 2017.

[1] 张葛祥, 程吉祥, 王 涛, 王学渊, 朱 杰. 膜计算: 理论与应用. 北京: 科学出版社, 2015.

编辑(Editorship)
[8] Gexiang Zhang (Guest Editor). Special Issue "Membrane Computing", International Journal of Parallel, Emergent and Distributed Systems (2019).
[9] Gexiang Zhang, Linqiang Pan, Gheorghe Paun (Guest Editors). Special Issue "Membrane Computing", International Journal of Unconventional Computing (2019).
[8] Linqiang Pan, M.J. Perez-Jimenez, Gexiang Zhang (Guest Editors). Special Issue " Bio-Inspired Computing: Theories and Applications (BIC-TA 2017) ", Fundamenta Informaticae 164 (2019).
[7] Gexiang Zhang, Jun Wang, Linqiang Pan, Qiang Yang, Youxin Zeng, Xucai Zeng (Eds.), Pre-Proceedings of the Sixth Asian Conference on Membrane Computing (ACMC2017), Chengdu, China, 2017.
[6] Gexiang Zhang, Linqiang Pan, Ferrante Neri, Maoguo Gong, Alberto Leporati (Guest Editors). Special Issue "Metaheuristic Optimization: Algorithmic Design and Applications" Journal of Optimization, 2017, vol. 2017, 82 pages.
[5] Gexiang Zhang, Linqiang Pan, Gheorghe Paun, Ravie Chandren Muniyandi (Guest Editors), Romanian Journal of Information Science and Technology, Special Issue, 2017, 20(1): 84 pages.
[4] Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang (Eds.). Communications in Computer and Information Science (Bio-inspired Computing – Theories and Applications), Vols. 681 and 682, Springer, 2016.
[3] Michael J. Dinneen, Marian Gheorghe, Linqiang Pan, Gexiang Zhang, (Guest Editors), Romanian Journal of Information Science and Technology, Special Issue, 2015, 18(3): 199-295.
[2] Marian Gheorghe, Gheorghe Paun, Gexiang Zhang (Guest Editors), Romanian Journal of Information Science and Technology, Special Issue, 2014, 17(1): 3-116 pages.
[1] Gexiang Zhang, Jun Wang, Jixiang Cheng, Tao Wang (Eds.), Pre-Proceedings of the Second Asian Conference on Membrane Computing (ACMC2013), Chengdu, China, 2013.

论文成果 [70] Chen Li, Fanjie Kong, Kai Wang*, Aidong Xu, Gexiang Zhang, Ning Xu, Zhihua Liu, Haifeng Guo, Xue Wang, Kuan Liang, Jianying Yuan, Shouliang Qi, Tao Jiang*. Microscopic Machine Vision Based Degradation Monitoring of Low-voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework, IEEE Access, 2019, 7: 97216-97241.
[69] Yingying Duan, Kang Zhou*, Gexiang Zhang, Prithwineel Paul, Haina Rong. A membrane-inspired algorithm with exchange-tree mechanism for traffic network transportation optimization problem, International Journal of Unconventional Computing, 2019 (accepted)
[68] Huifang Wang, Kang Zhou*, Gexiang Zhang, Prithwineel Paul, Yingying Duan, Huaqing Qi, Haina Rong. Application of weighted spiking neural P systems with rules on synapses for breaking RSA encryption, International Journal of Unconventional Computing, 2019 (accepted)
[67] Dequan Guo, Gexiang Zhang*, Yi Zhou, Jianying Yuan, Prithwineel Paul, Kechang Fu, Ming Zhu. Image thresholding using a membrane algorithm based on enhanced particle swarm optimization with hyperparameter, International Journal of Unconventional Computing, 2019 (accepted)
[66] Haina Rong, Kang Yi, Gexiang Zhang*, Jianping Dong, Prithwineel Paul, Zhiwei Huang. Automatic implementation of fuzzy reasoning spiking neural P systems for diagnosing faults in complex power systems, Complexity, 2019, vol. 2019, Article ID **, 16 pages.
[65] Zeyi Shang, Sergey Verlan, Ion Petre, Gexiang Zhang*. Reaction Systems and Synchronous Digital Circuits, Molecules 2019, 24(10), 1961, page 13
[64] Jianying Yuan, Dequan Guo, Gexiang Zhang*, Prithwineel Paul, Ming Zhu, Qiang Yang. A resolution-free parallel algorithm for image edge detection within the framework of enzymatic numerical P systems, Molecules 2019, 24(7), 1235.
[63] Sheng Cao, Gexiang Zhang, Pengfei Liu, Xiaosong Zhang, Ferrante Neri*. Cloud-Assisted Secure eHealth Systems for Tamper-Proofing HER via Blockchain, Information Sciences, 2019, 485: 427-440.
[62] Sidong Wu, Gexiang Zhang, Ferrante Neri, Ming Zhu, Tao Jiang, and Klaus-Dieter Kuhnert. A multi-aperture optical flow estimation method for an artificial compound eye, Integrated Computer-Aided Engineering, 2019, 26(2) 139-157.
[61] I. Perez-Hurtado, M.J. Perez-Jimenez, G. Zhang, D. Orellana-M. Simulation of Rapidly-Exploring Random Trees in Membrane Computing with P-Lingua and Automatic Programming, International Journal of Computers, Communications & Control, 13(6), 1007-1031, 2018.
[60] Somnath Bera, Linqiang Pan, Bosheng Song, K.G. Subramanian, Gexiang Zhang*. Parallel Contextual Array P systems, International Journal of Advances in Engineering Sciences and Applied Mathematics, 2018, 10(3), 203-212.
[59] Ming Zhu, Gexiang Zhang*, Member, IEEE, Qiang Yang, Haina Rong, Weitao Yuan, and Mario J. Perez-Jimenez. P systems based computing polynomials with integer coefficients: design and formal verification, IEEE Transactions on NanoBioscience, 2018, 17(3): 272-280.
[58] Naeimeh Elkhani*, Ravie Chandren Muniyandi, Gexiang Zhang. Multi-Objective Binary Particle Swarm Optimization with Kernel P System on GPU. International Journal of Computers, Communications & Control, 2018, 13(3), 323-336.
[57] Sidong Wu, Gexiang Zhang, Ming Zhu*, Tao Jiang, Ferrante Neri*. Geometry based Three-Dimensional Image Processing Method for Electronic Cluster Eye, Integrated Computer Aided Engineering, 2018, 25(3): 213-228. (SCI, IF= 4.667, JCR=1)
[56] Sidong Wu, Gexiang Zhang*, Tao Jiang, Ming Zhu, Kechang Fu, Haina Rong, Kaiyi Xian, Hui Song, Klaus-Dieter Kuhnert. Multi-aperture stereo reconstruction for artificial compound eye with cross image belief propagation, Applied Optics, 2018, 57(7), B160-B169.
[55] Wenbo Dong, Kang Zhou*, Gexiang Zhang, Han-Chieh Chao. Modified discrete glowworm swarm optimization algorithm based on time window division for multi-objective VRPTW. Journal of Internet Technology, 2018, 19 (1): 1-13. (SCI, IF= 1.93, JCR=4)
[54] Linqiang Pan, Gheorghe Paun, Gexiang Zhang*, Ferrante Neri. Spiking Neural P Systems with Communication on Request, International Journal of Neural Systems, 2017, 27(8), **, 13 pages. (SCI, IF= 6.333, JCR=1)
[53] Junbo Zhao, Gexiang Zhang*, Massimo La Scala, Zhaoyu Wang. Enhanced Robustness of State Estimator to Bad Data Processing Through Multi-Innovation Analysis, IEEE Transaction on Industrial Informatics, Aug. 2017, 13(4): 1610-1619. (SCI, IF=6.764, JCR=1)
[52] Huifang Wang, Kang Zhou*, Gexiang Zhang. Arithmetic Operations with Spiking Neural P Systems with Rules and Weights on Synapses, International Journal of Computers, Communications & Control, 2018, 13(4): 574-589.
[51] Haina Rong, Ming Zhu, Zhipeng Feng, Gexiang Zhang*, Kang Huang. A Novel Approach for Fault Classification of Power Transmission Lines Using Singular Value Decomposition and Fuzzy Reasoning Spiking Neural P Systems, Romanian Journal of Information Science and Technology, 2017, 20(1): 18-31. (SCI, IF=0.422, JCR=4)
[50] Junbo Zhao, Gexiang Zhang*, Zhao Yang Dong, Massimo La Scala. Robust Forecasting Aided Power System State Estimation Considering State Correlations. IEEE Transactions on Smart Grid, 2018, 9(4): 2658-2666.
[49] Junbo Zhao, Gexiang Zhang*. A Robust Prony Method Against Synchrophasor Measurement Noise and Outliers, IEEE Transactions on Power Systems, May 2017, 32(3): 2484-2486. (SCI, IF=5.68, JCR=2)
[48] Junbo Zhao, Gexiang Zhang, Rabih A. Jabr. Robust Detection of Cyber Attacks on State Estimators Using Phasor Measurements, IEEE Transactions on Power Systems, May 2017, 32(3): 2468-2470. (SCI, IF=5.68, JCR=2)
[47] Sidong Wu, Tao Jiang, Gexiang Zhang*, Brigitte Schoenemann, Ferrante Neri, Ming Zhu, Chunguang Bu, Jianda Han, Klaus-Dieter Kuhnert. Artificial compound eye: a survey of the state-of-the-art, Artificial Intelligence Review, 2017, 48(4), 573-603. (SCI, IF=1.731, JCR=3)
[46] Yangyang He, Tao Wang, Kang Huang, Gexiang Zhang, Mario J. Pérez-Jiménez. Fault diagnosis of metro traction power systems using modified fuzzy reasoning spiking neural P systems. Romanian Journal of Information Science and Technology, 2015, 18(3): 256-272. (SCI, IF=0.269, JCR=4).
[45] Tao Wang, Sikui Zeng, Gexiang Zhang*, Mario J. Pérez-Jiménez, Jun Wang. Fault section estimation of power systems with optimization spiking neural P systems. Romanian Journal of Information Science and Technology, 2015, 18(3): 240-255. (SCI, IF=0.269, JCR=4)
[44] Kang Huang, Tao Wang, Yangyang He, Gexiang Zhang, Mario J. Pérez-Jiménez. Temporal fuzzy reasoning spiking neural P systems with real numbers for power system fault diagnosis. Journal of Computational and Theoretical Nanoscience, 2016, 13(6): 3804-3814.
[43] Weitao Yuan, Gexiang Zhang, Mario J. Pérez-Jiménez, Tao Wang, Zhiwei Huang. P systems based computing polynomials: design and formal verification. Natural Computing, 2016, 15(4), 591-596. (SCI, IF=1.31, JCR=4)
[42] Junbo Zhao, Zhaoyu Wang, Chen Chen, Gexiang Zhang. Robust Voltage Instability Predictor. IEEE Transactions on Power Systems, 2017, 32(2): 1578-1579. (SCI, IF=5.68, JCR=2)
[41] Junbo Zhao, Gexiang Zhang, Massimo La Scala, Zhao Yang Dong, Chen Chen, Jianhui Wang. Short-term state forecasting-aided method for detection of smart grid general false data injection attacks. IEEE Transactions on Smart Grid, July 2017, 8(4): 1580-1590. (SCI, IF= 6.645, JCR=1)
[40] Junbo Zhao, Gexiang Zhang, Zhao Yang Dong, Kit Po Wong, Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation, IEEE Transactions on Smart Grid, 2016, 7(1): 6-8. (SCI, IF= 4.334, JCR=1)
[39] Xueyuan Wang, Gexiang Zhang, Ferrante Neri, Tao Jiang, Junbo Zhao, Marian Gheorghe, Florentin Ipate, Raluca Lefticaru. Design and implementation of membrane controllers for trajectory tracking of nonholonomic wheeled mobile robots, Integrated Computer-Aided Engineering, 2016, 23(1): 15-30. (SCI, IF= 4.667, JCR=1)
[38] Tao Wang, Gexiang Zhang, Mario J. Pérez-Jiménez. Fuzzy Membrane Computing: Theory and Applications. International Journal of Computers, Communications & Control, 2015, 10(6): 904-935. (SCI, IF=0.746, JCR=4) (Invited paper to the Special Issue on Fuzzy Sets and Applications, dedicated to the 50th anniversary from the publication of the famous paper : L.A. Zadeh (1965), Fuzzy Sets, Information and Control 8: 338-353.)
[37] Junbo Zhao, Gexiang Zhang, Kaushik Das, George N. Korres, Nikolaos M. Manousakis, A. K. Sinha, Zhengyou He, Power System Real-time Monitoring by Using PMU based Robust State Estimation Method, IEEE Transactions on Smart Grid, 2016, 7(1): 300-309. (SCI, IF= 4.334, JCR=1)
[36] Jixiang Cheng, Gary G. Yen, Gexiang Zhang. A many-objective evolutionary algorithm with enhanced mating and environmental selections, IEEE Transactions on Evolutionary Computation, 2015, 19(4): 592-605. (SCI, IF= 5.545, JCR=1)
[35] Jixiang Cheng, Gexiang Zhang, Fabio Caraffini, Ferrante Neri. Multicriteria adaptive differential evolution for global numerical optimization, Integrated Computer-Aided Engineering, 2015, 22(2): 103-117. (SCI, IF= 4.667, JCR=1)
[34] Tao Wang, Gexiang Zhang, Mario J. Pérez-Jiménez, Jixiang Cheng. Weighted fuzzy reasoning spiking neural P systems: application to fault diagnosis in traction power supply systems of high-speed railways. Journal of Computational and Theoretical Nanoscience, 2015, 12(7): 1103-1114. (SCI, IF=0.673, JCR=4)
[33] Jixiang Cheng, Gexiang Zhang, Tao Wang. A membrane-inspired evolutionary algorithm based on population P systems and differential evolution for multi-objective optimization. Journal of Computational and Theoretical Nanoscience, 2015, 12(7): 1150-1160. (SCI, IF=0.673, JCR=4)
[32] Tao Wang, Gexiang Zhang, Junbo Zhao, Zhengyou He, Jun Wang, Mario J. Pérez-Jiménez. Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems, IEEE Transactions on Power Systems, 2015, 30(3): 1182-1194. (SCI, IF=3.530, JCR=2)
[31] Gexiang Zhang, Haina Rong, Zhu Ou, Mario J. Pérez-Jiménez and Marian Gheorghe. Automatic Design of Deterministic and Non-Halting Membrane Systems by Tuning Syntactical Ingredients, IEEE Transactions on NanoBioscience, 2014, 13(3): 363-371. (SCI, IF=1.768, JCR=3)
[30] Jixiang Cheng, Gexiang Zhang. Parameter fitting of proton exchange membrane fuel cell models based on adaptive differential evolution, International Journal of Electrical Power & Energy Systems, 2014, 62: 189–198. (IF= 3.432, SCI, JCR=2).
[29] Gexiang Zhang, Marian Gheorghe, Linqiang Pan, Mario J. Pérez-Jiménez. Evolutionary membrane computing: a comprehensive survey and new results. Information Sciences, 2014, 279: 528–551. (IF= 3.893, SCI, JCR=1).
[28] Gexiang Zhang, Haina Rong, Ferrante Neri, Mario J. Pérez-Jiménez. An optimization spiking neural P system for approximately solving combinatorial optimization problems, International Journal of Neural Systems, 2014, 24(5): 1-16. Article No. **. (IF= 6.056, SCI, JCR=1, IJNS achieves a rank of 2 out of 111 in the Computer Science and Artificial Intelligence category according to the website of IJNS).
[27] 赵俊博, 张葛祥, 黄彦全. 含新能源电力系统状态估计研究现状和展望. 电力自动化设备, 2014, 34(5): 7-20. (EI)
[26] Gexiang Zhang, Haina Rong, Jixiang Cheng, Yanhui Qin. A population-membrane-system-inspired evolutionary algorithm for distribution network reconfiguration. Chinese Journal of Electronics, 2014, 23(3): 437-441. (SCI)
[25] Yixi Chen, Gexiang Zhang, Tao Wang, Xiaoli Huang. Automatic design of a P system for basic arithmetic operations. Chinese Journal of Electronics, 2014, 23(2): 302-304. (SCI)
[24] Xueyuan Wang, Gexiang Zhang, Junbo Zhao, Haina Rong, Florentin Ipate, Racula Lefticaru. A modified membrane-inspired algorithm based on particle swarm optimization for mobile robot path planning, International Journal of Computers, Communications & Control, 2015, 10(5): 732-745. (SCI)
[23] Gexiang Zhang, Jixiang Cheng, Marian Gheorghe, Florentin Ipate, Xueyuan Wang. QEAM: an approximate algorithm using P systems with active membranes, International Journal of Computers, Communications & Control, 2015, 10(2): 263-279. (SCI)
[22] Tao Wang, Gexiang Zhang, Haina Rong, Mario J. Pérez-Jiménez. Application of Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis, International Journal of Computers, Communications & Control, 2014, 9(6):786-799. (SCI)
[21] Gexiang Zhang, Jixiang Cheng, Marian Gheorghe. Dynamic behavior analysis of membrane-inspired evolutionary algorithms. International Journal of Computers, Communications & Control, 2014, 9(2): 227-242. (SCI)
[20] Gexiang Zhang. P Systems and Evolutionary Computing Interactions, in the collective paper: Marian Gheorghe, Gheorghe Paun, Mario J. Perez-Jimenez, Grzegorz Rozenberg. Research frontiers of membrane computing: open problems and research topics. International Journal of Foundations of Computer Science, 2013, 24(5): 600-602.(SCI)
[19] Junbo Zhao, Gexiang Zhang, Xiaoru Wang, Donghai Zou. Distribution state estimation with renewable sources based distributed generations using a modified quantum-inspired evolutionary algorithm. Journal of Renewable and Sustainable Energy, 2013, 5(5): 053133. (SCI)
[18] Jixiang Cheng, Gexiang Zhang, Ferrante Neri. Enhancing distributed differential evolution with multicultural migration for global numerical optimization. Information Sciences, 2013, 247:72-93. (IF= 3.64, SCI, JCR=1)
[17] Zhu Ou, Gexiang Zhang, Xiaoli Huang. Automatic design of cell-like P systems through tuning membrane structures, initial objects and evolution rules. International Journal of Unconventional Computing, 2013, 9(5-6): 425-443. (SCI)
[16] Gexiang Zhang, Jixiang Cheng, Marian Gheorghe, Qi Meng. A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems, Applied Soft Computing, 2013, 13(3): 1528–1542. (SCI, ESI Highly Cited Paper)
[15] Gexiang Zhang, Fen Zhou, Xiaoli Huang, Jixiang Cheng, Marian Gheorghe, Florentin Ipate, Raluca Lefticaru. A novel membrane algorithm based on particle swarm optimization for solving broadcasting problems. Journal of Universal Computer Science, 2012, 18(13): 1821-1841. (SCI)
[14] Gexiang Zhang, Xu Li. A new recognition system for radar emitter signals. Kybernetes, 2012, 41(9): 1351-1360. (SCI)
[13] Gexiang Zhang, Marian Gheorghe, Yuquan Li. A membrane algorithm with quantum-inspired subalgorithms and its application to image processing, Natural Computing—An International Journal, 2012, 11(4): 701-717. DOI: 10.1007/s11047-012-9320-2. (SCI)
[12] Yuquan Li, Gexiang Zhang, Jixiang Cheng, Xiangxiang Zeng, Marian Gheorghe, Susan Elias. A modified estimation of distribution algorithm for digital filter design. Romanian Journal of Information Science and Technology, 2012, 15(1): 50–62. (SCI)
[11] Jixiang Cheng, Gexiang Zhang, Zhidan Li, Yuquan Li. Multi-objective ant colony optimization based on decomposition for bi-objective traveling salesman problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2012, 16(4): 597-614. (SCI)
[10] Susan Elias, Vanaja Gokul, Kamala Krithivasan, Marian Gheorghe, Gexiang Zhang. A variant of the distributed P system for real time cross layer optimization. Journal of Universal Computer Science, 2012, 18(13): 1760-1781. (SCI)
[9] Gexiang Zhang, Jixiang Cheng, Marian Gheorghe. A membrane-inspired approximate algorithm for traveling salesman problems, Romanian Journal of Information Science and Technology, 2011, 14(1): 3-19. (SCI)
[8] Ge-Xiang Zhang, Quantum-inspired evolutionary algorithms: a survey and empirical study, Journal of Heuristics, 2011, 17(3): 303-351. (SCI)
[7] Jixiang Cheng, Gexiang Zhang, Xiangxiang Zeng. A novel membrane algorithm based on differential evolution for numerical optimization. International Journal of Unconventional Computing, 2011, 7(3): 159-183. (SCI)
[6] Jun Wang, Li Zou, Hong Peng, Gexiang Zhang. An extended spiking neural P system for fuzzy knowledge representation. International Journal of Innovative Computing, Information and Control, 2011, 7(7A): 3709-3724. (SCI)
[5] Ge-Xiang Zhang, Chun-Xiu Liu, Hai-Na Rong. Analyzing radar emitter signals with membrane algorithms. Mathematical and Computer Modelling, 2010, 52(11-12): 1997-2010. (SCI)
[4] Ge-Xiang Zhang, Time-frequency atom decomposition with quantum-inspired evolutionary algorithms. Circuits, Systems and Signal Processing, 2010, 29(2): 209-233. (SCI)
[3] 张葛祥, 潘林强. 自然计算的新分支—膜计算. 计算机学报, 2010, 33(2): 208-214. (EI)
[2] Ge-Xiang Zhang, Marian Gheorghe, Chao-Zhong Wu, A quantum-inspired evolutionary algorithm based on P systems for knapsack problem, Fundamenta Informaticae, 2008, 87(1): 93-116. (SCI)
[1] Gexiang Zhang, Na Li, Weidong Jin, Laizhao Hu. Novel Quantum Genetic Algorithm and Its Applications. Frontiers of Electrical and Electronic Engineering in China. Springer, 2006, 1(1): 31-36 (张葛祥, 李娜, 金炜东, 胡来招. 一种新量子遗传算法及其应用, 电子学报, 2004, 32(3): 476-479) (EI)

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Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
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所在单位： 电气工程学院
学历： 博士研究生毕业
办公地点： 西南交通大学电气馆
联系方式：
学位： 工学博士学位
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科研项目
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1. 作为主持人承担的主要科研项目：
（12）移动机器人控制膜计算模型构建机制，国家自然科学基金项目，2020--2023
（11）变电站110kV隔离开关带电拆接机器人研发，企业委托项目，2017/11--2019/12
（11）城市输气管网维护机器人研发及制造，中国制造2025四川行动资金项目，2016/03--2019/08
（10）新型计算模型的FPGA高效实现及在机器人中的应用, 四川省科技计划重点研发项目，2018--2020
（9） 大熊猫生态系统膜计算模型建模机制研究, 国家自然科学基金项目, 2017--2020
（8） 问题驱动膜计算模型的自主演化设计与建模机制, 国家自然科学基金项目, 2014--2017
（7） 问题驱动膜计算模型自主演化设计方法研究, 四川省学术和技术带头人培养资金, 2013--2014
（6） 进化膜计算机理与模型研究, 国家自然科学基金项目, 2012--2015
（5） 膜计算模型及其硬件实现原理与方法研究, 教育部新世纪优秀人才支持计划项目, 2012--2014
（4） 膜算法动态模型及其在信号处理中的应用, 教育部留学回国人员科研启动基金项目, 2011--2013
（3） 基于生物细胞的计算模型研究, 四川省学术和技术带头人培养资金, 2012--2013
（2） 复杂体制雷达辐射源信号分选识别模型与算法研究，四川省青年科技基金项目, 2009--2011
（1） 复杂体制雷达辐射源信号本征时频原子特征挖掘模型与算法, 国家自然科学基金项目, 2008--2010
2. 课题组成员作为主持人承担的主要科研项目：
（3）电力网络智能化关键技术研究及应用示范，2018年四川省新一代人工智能重大科技专项，2018.09--2020.08
（2）面向电网连锁故障的脉冲神经膜计算模型建模机制研究，国家自然科学基金青年基金项目, 2018--2020
（1）复杂动态环境智能感知关键技术及应用，四川省科技计划重点研发项目，2018--2020
3. 作为主研人员承担的主要科研项目：
（5） 基于监测数据的高速列车服役安全性态评估的关键问题研究, 国家自然科学基金重点项目, 2012--2016
（4） 复杂体制雷达辐射源信号特征评价机制, 国家自然科学基金项目, 2010--2012
（3） 电力系统故障预测与诊断, 中央高校基本科研业务费专项资金, 2011--2013
（2） 智能电网关键技术, 中央高校基本科研业务费专项资金, 2009--2011
（1） 复杂体制雷达辐射源信号分选识别机理与模型, 国家自然科学基金项目, 2006--2008





Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处 您是第位访客

---

所在单位： 电气工程学院
学历： 博士研究生毕业
办公地点： 西南交通大学电气馆
联系方式：
学位： 工学博士学位
职称： 教授
电子邮箱： zhgxdylan@126.com



著作成果
当前位置: 中文主页 >> 科学研究 >> 著作成果

著作
[2] Gexiang Zhang, Mario J. Pérez-Jiménez, Marian Gheorghe. Real-life applications with membrane computing, Springer, 2017.

[1] 张葛祥, 程吉祥, 王 涛, 王学渊, 朱 杰. 膜计算: 理论与应用. 北京: 科学出版社, 2015.

编辑(Editorship)
[8] Gexiang Zhang (Guest Editor). Special Issue "Membrane Computing", International Journal of Parallel, Emergent and Distributed Systems (2019).
[9] Gexiang Zhang, Linqiang Pan, Gheorghe Paun (Guest Editors). Special Issue "Membrane Computing", International Journal of Unconventional Computing (2019).
[8] Linqiang Pan, M.J. Perez-Jimenez, Gexiang Zhang (Guest Editors). Special Issue " Bio-Inspired Computing: Theories and Applications (BIC-TA 2017) ", Fundamenta Informaticae 164 (2019).
[7] Gexiang Zhang, Jun Wang, Linqiang Pan, Qiang Yang, Youxin Zeng, Xucai Zeng (Eds.), Pre-Proceedings of the Sixth Asian Conference on Membrane Computing (ACMC2017), Chengdu, China, 2017.
[6] Gexiang Zhang, Linqiang Pan, Ferrante Neri, Maoguo Gong, Alberto Leporati (Guest Editors). Special Issue "Metaheuristic Optimization: Algorithmic Design and Applications" Journal of Optimization, 2017, vol. 2017, 82 pages.
[5] Gexiang Zhang, Linqiang Pan, Gheorghe Paun, Ravie Chandren Muniyandi (Guest Editors), Romanian Journal of Information Science and Technology, Special Issue, 2017, 20(1): 84 pages.
[4] Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang (Eds.). Communications in Computer and Information Science (Bio-inspired Computing – Theories and Applications), Vols. 681 and 682, Springer, 2016.
[3] Michael J. Dinneen, Marian Gheorghe, Linqiang Pan, Gexiang Zhang, (Guest Editors), Romanian Journal of Information Science and Technology, Special Issue, 2015, 18(3): 199-295.
[2] Marian Gheorghe, Gheorghe Paun, Gexiang Zhang (Guest Editors), Romanian Journal of Information Science and Technology, Special Issue, 2014, 17(1): 3-116 pages.
[1] Gexiang Zhang, Jun Wang, Jixiang Cheng, Tao Wang (Eds.), Pre-Proceedings of the Second Asian Conference on Membrane Computing (ACMC2013), Chengdu, China, 2013.





Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
地址：中国四川省成都市高新区西部园区西南交通大学
川公网安备061号
技术支持：信息化与网络管理处 您是第位访客

---

所在单位： 电气工程学院
学历： 博士研究生毕业
办公地点： 西南交通大学电气馆
联系方式：
学位： 工学博士学位
职称： 教授
电子邮箱： zhgxdylan@126.com



论文成果
当前位置: 中文主页 >> 科学研究 >> 论文成果

[70] Chen Li, Fanjie Kong, Kai Wang*, Aidong Xu, Gexiang Zhang, Ning Xu, Zhihua Liu, Haifeng Guo, Xue Wang, Kuan Liang, Jianying Yuan, Shouliang Qi, Tao Jiang*. Microscopic Machine Vision Based Degradation Monitoring of Low-voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework, IEEE Access, 2019, 7: 97216-97241.
[69] Yingying Duan, Kang Zhou*, Gexiang Zhang, Prithwineel Paul, Haina Rong. A membrane-inspired algorithm with exchange-tree mechanism for traffic network transportation optimization problem, International Journal of Unconventional Computing, 2019 (accepted)
[68] Huifang Wang, Kang Zhou*, Gexiang Zhang, Prithwineel Paul, Yingying Duan, Huaqing Qi, Haina Rong. Application of weighted spiking neural P systems with rules on synapses for breaking RSA encryption, International Journal of Unconventional Computing, 2019 (accepted)
[67] Dequan Guo, Gexiang Zhang*, Yi Zhou, Jianying Yuan, Prithwineel Paul, Kechang Fu, Ming Zhu. Image thresholding using a membrane algorithm based on enhanced particle swarm optimization with hyperparameter, International Journal of Unconventional Computing, 2019 (accepted)
[66] Haina Rong, Kang Yi, Gexiang Zhang*, Jianping Dong, Prithwineel Paul, Zhiwei Huang. Automatic implementation of fuzzy reasoning spiking neural P systems for diagnosing faults in complex power systems, Complexity, 2019, vol. 2019, Article ID **, 16 pages.
[65] Zeyi Shang, Sergey Verlan, Ion Petre, Gexiang Zhang*. Reaction Systems and Synchronous Digital Circuits, Molecules 2019, 24(10), 1961, page 13
[64] Jianying Yuan, Dequan Guo, Gexiang Zhang*, Prithwineel Paul, Ming Zhu, Qiang Yang. A resolution-free parallel algorithm for image edge detection within the framework of enzymatic numerical P systems, Molecules 2019, 24(7), 1235.
[63] Sheng Cao, Gexiang Zhang, Pengfei Liu, Xiaosong Zhang, Ferrante Neri*. Cloud-Assisted Secure eHealth Systems for Tamper-Proofing HER via Blockchain, Information Sciences, 2019, 485: 427-440.
[62] Sidong Wu, Gexiang Zhang, Ferrante Neri, Ming Zhu, Tao Jiang, and Klaus-Dieter Kuhnert. A multi-aperture optical flow estimation method for an artificial compound eye, Integrated Computer-Aided Engineering, 2019, 26(2) 139-157.
[61] I. Perez-Hurtado, M.J. Perez-Jimenez, G. Zhang, D. Orellana-M. Simulation of Rapidly-Exploring Random Trees in Membrane Computing with P-Lingua and Automatic Programming, International Journal of Computers, Communications & Control, 13(6), 1007-1031, 2018.
[60] Somnath Bera, Linqiang Pan, Bosheng Song, K.G. Subramanian, Gexiang Zhang*. Parallel Contextual Array P systems, International Journal of Advances in Engineering Sciences and Applied Mathematics, 2018, 10(3), 203-212.
[59] Ming Zhu, Gexiang Zhang*, Member, IEEE, Qiang Yang, Haina Rong, Weitao Yuan, and Mario J. Perez-Jimenez. P systems based computing polynomials with integer coefficients: design and formal verification, IEEE Transactions on NanoBioscience, 2018, 17(3): 272-280.
[58] Naeimeh Elkhani*, Ravie Chandren Muniyandi, Gexiang Zhang. Multi-Objective Binary Particle Swarm Optimization with Kernel P System on GPU. International Journal of Computers, Communications & Control, 2018, 13(3), 323-336.
[57] Sidong Wu, Gexiang Zhang, Ming Zhu*, Tao Jiang, Ferrante Neri*. Geometry based Three-Dimensional Image Processing Method for Electronic Cluster Eye, Integrated Computer Aided Engineering, 2018, 25(3): 213-228. (SCI, IF= 4.667, JCR=1)
[56] Sidong Wu, Gexiang Zhang*, Tao Jiang, Ming Zhu, Kechang Fu, Haina Rong, Kaiyi Xian, Hui Song, Klaus-Dieter Kuhnert. Multi-aperture stereo reconstruction for artificial compound eye with cross image belief propagation, Applied Optics, 2018, 57(7), B160-B169.
[55] Wenbo Dong, Kang Zhou*, Gexiang Zhang, Han-Chieh Chao. Modified discrete glowworm swarm optimization algorithm based on time window division for multi-objective VRPTW. Journal of Internet Technology, 2018, 19 (1): 1-13. (SCI, IF= 1.93, JCR=4)
[54] Linqiang Pan, Gheorghe Paun, Gexiang Zhang*, Ferrante Neri. Spiking Neural P Systems with Communication on Request, International Journal of Neural Systems, 2017, 27(8), **, 13 pages. (SCI, IF= 6.333, JCR=1)
[53] Junbo Zhao, Gexiang Zhang*, Massimo La Scala, Zhaoyu Wang. Enhanced Robustness of State Estimator to Bad Data Processing Through Multi-Innovation Analysis, IEEE Transaction on Industrial Informatics, Aug. 2017, 13(4): 1610-1619. (SCI, IF=6.764, JCR=1)
[52] Huifang Wang, Kang Zhou*, Gexiang Zhang. Arithmetic Operations with Spiking Neural P Systems with Rules and Weights on Synapses, International Journal of Computers, Communications & Control, 2018, 13(4): 574-589.
[51] Haina Rong, Ming Zhu, Zhipeng Feng, Gexiang Zhang*, Kang Huang. A Novel Approach for Fault Classification of Power Transmission Lines Using Singular Value Decomposition and Fuzzy Reasoning Spiking Neural P Systems, Romanian Journal of Information Science and Technology, 2017, 20(1): 18-31. (SCI, IF=0.422, JCR=4)
[50] Junbo Zhao, Gexiang Zhang*, Zhao Yang Dong, Massimo La Scala. Robust Forecasting Aided Power System State Estimation Considering State Correlations. IEEE Transactions on Smart Grid, 2018, 9(4): 2658-2666.
[49] Junbo Zhao, Gexiang Zhang*. A Robust Prony Method Against Synchrophasor Measurement Noise and Outliers, IEEE Transactions on Power Systems, May 2017, 32(3): 2484-2486. (SCI, IF=5.68, JCR=2)
[48] Junbo Zhao, Gexiang Zhang, Rabih A. Jabr. Robust Detection of Cyber Attacks on State Estimators Using Phasor Measurements, IEEE Transactions on Power Systems, May 2017, 32(3): 2468-2470. (SCI, IF=5.68, JCR=2)
[47] Sidong Wu, Tao Jiang, Gexiang Zhang*, Brigitte Schoenemann, Ferrante Neri, Ming Zhu, Chunguang Bu, Jianda Han, Klaus-Dieter Kuhnert. Artificial compound eye: a survey of the state-of-the-art, Artificial Intelligence Review, 2017, 48(4), 573-603. (SCI, IF=1.731, JCR=3)
[46] Yangyang He, Tao Wang, Kang Huang, Gexiang Zhang, Mario J. Pérez-Jiménez. Fault diagnosis of metro traction power systems using modified fuzzy reasoning spiking neural P systems. Romanian Journal of Information Science and Technology, 2015, 18(3): 256-272. (SCI, IF=0.269, JCR=4).
[45] Tao Wang, Sikui Zeng, Gexiang Zhang*, Mario J. Pérez-Jiménez, Jun Wang. Fault section estimation of power systems with optimization spiking neural P systems. Romanian Journal of Information Science and Technology, 2015, 18(3): 240-255. (SCI, IF=0.269, JCR=4)
[44] Kang Huang, Tao Wang, Yangyang He, Gexiang Zhang, Mario J. Pérez-Jiménez. Temporal fuzzy reasoning spiking neural P systems with real numbers for power system fault diagnosis. Journal of Computational and Theoretical Nanoscience, 2016, 13(6): 3804-3814.
[43] Weitao Yuan, Gexiang Zhang, Mario J. Pérez-Jiménez, Tao Wang, Zhiwei Huang. P systems based computing polynomials: design and formal verification. Natural Computing, 2016, 15(4), 591-596. (SCI, IF=1.31, JCR=4)
[42] Junbo Zhao, Zhaoyu Wang, Chen Chen, Gexiang Zhang. Robust Voltage Instability Predictor. IEEE Transactions on Power Systems, 2017, 32(2): 1578-1579. (SCI, IF=5.68, JCR=2)
[41] Junbo Zhao, Gexiang Zhang, Massimo La Scala, Zhao Yang Dong, Chen Chen, Jianhui Wang. Short-term state forecasting-aided method for detection of smart grid general false data injection attacks. IEEE Transactions on Smart Grid, July 2017, 8(4): 1580-1590. (SCI, IF= 6.645, JCR=1)
[40] Junbo Zhao, Gexiang Zhang, Zhao Yang Dong, Kit Po Wong, Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation, IEEE Transactions on Smart Grid, 2016, 7(1): 6-8. (SCI, IF= 4.334, JCR=1)
[39] Xueyuan Wang, Gexiang Zhang, Ferrante Neri, Tao Jiang, Junbo Zhao, Marian Gheorghe, Florentin Ipate, Raluca Lefticaru. Design and implementation of membrane controllers for trajectory tracking of nonholonomic wheeled mobile robots, Integrated Computer-Aided Engineering, 2016, 23(1): 15-30. (SCI, IF= 4.667, JCR=1)
[38] Tao Wang, Gexiang Zhang, Mario J. Pérez-Jiménez. Fuzzy Membrane Computing: Theory and Applications. International Journal of Computers, Communications & Control, 2015, 10(6): 904-935. (SCI, IF=0.746, JCR=4) (Invited paper to the Special Issue on Fuzzy Sets and Applications, dedicated to the 50th anniversary from the publication of the famous paper : L.A. Zadeh (1965), Fuzzy Sets, Information and Control 8: 338-353.)
[37] Junbo Zhao, Gexiang Zhang, Kaushik Das, George N. Korres, Nikolaos M. Manousakis, A. K. Sinha, Zhengyou He, Power System Real-time Monitoring by Using PMU based Robust State Estimation Method, IEEE Transactions on Smart Grid, 2016, 7(1): 300-309. (SCI, IF= 4.334, JCR=1)
[36] Jixiang Cheng, Gary G. Yen, Gexiang Zhang. A many-objective evolutionary algorithm with enhanced mating and environmental selections, IEEE Transactions on Evolutionary Computation, 2015, 19(4): 592-605. (SCI, IF= 5.545, JCR=1)
[35] Jixiang Cheng, Gexiang Zhang, Fabio Caraffini, Ferrante Neri. Multicriteria adaptive differential evolution for global numerical optimization, Integrated Computer-Aided Engineering, 2015, 22(2): 103-117. (SCI, IF= 4.667, JCR=1)
[34] Tao Wang, Gexiang Zhang, Mario J. Pérez-Jiménez, Jixiang Cheng. Weighted fuzzy reasoning spiking neural P systems: application to fault diagnosis in traction power supply systems of high-speed railways. Journal of Computational and Theoretical Nanoscience, 2015, 12(7): 1103-1114. (SCI, IF=0.673, JCR=4)
[33] Jixiang Cheng, Gexiang Zhang, Tao Wang. A membrane-inspired evolutionary algorithm based on population P systems and differential evolution for multi-objective optimization. Journal of Computational and Theoretical Nanoscience, 2015, 12(7): 1150-1160. (SCI, IF=0.673, JCR=4)
[32] Tao Wang, Gexiang Zhang, Junbo Zhao, Zhengyou He, Jun Wang, Mario J. Pérez-Jiménez. Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems, IEEE Transactions on Power Systems, 2015, 30(3): 1182-1194. (SCI, IF=3.530, JCR=2)
[31] Gexiang Zhang, Haina Rong, Zhu Ou, Mario J. Pérez-Jiménez and Marian Gheorghe. Automatic Design of Deterministic and Non-Halting Membrane Systems by Tuning Syntactical Ingredients, IEEE Transactions on NanoBioscience, 2014, 13(3): 363-371. (SCI, IF=1.768, JCR=3)
[30] Jixiang Cheng, Gexiang Zhang. Parameter fitting of proton exchange membrane fuel cell models based on adaptive differential evolution, International Journal of Electrical Power & Energy Systems, 2014, 62: 189–198. (IF= 3.432, SCI, JCR=2).
[29] Gexiang Zhang, Marian Gheorghe, Linqiang Pan, Mario J. Pérez-Jiménez. Evolutionary membrane computing: a comprehensive survey and new results. Information Sciences, 2014, 279: 528–551. (IF= 3.893, SCI, JCR=1).
[28] Gexiang Zhang, Haina Rong, Ferrante Neri, Mario J. Pérez-Jiménez. An optimization spiking neural P system for approximately solving combinatorial optimization problems, International Journal of Neural Systems, 2014, 24(5): 1-16. Article No. **. (IF= 6.056, SCI, JCR=1, IJNS achieves a rank of 2 out of 111 in the Computer Science and Artificial Intelligence category according to the website of IJNS).
[27] 赵俊博, 张葛祥, 黄彦全. 含新能源电力系统状态估计研究现状和展望. 电力自动化设备, 2014, 34(5): 7-20. (EI)
[26] Gexiang Zhang, Haina Rong, Jixiang Cheng, Yanhui Qin. A population-membrane-system-inspired evolutionary algorithm for distribution network reconfiguration. Chinese Journal of Electronics, 2014, 23(3): 437-441. (SCI)
[25] Yixi Chen, Gexiang Zhang, Tao Wang, Xiaoli Huang. Automatic design of a P system for basic arithmetic operations. Chinese Journal of Electronics, 2014, 23(2): 302-304. (SCI)
[24] Xueyuan Wang, Gexiang Zhang, Junbo Zhao, Haina Rong, Florentin Ipate, Racula Lefticaru. A modified membrane-inspired algorithm based on particle swarm optimization for mobile robot path planning, International Journal of Computers, Communications & Control, 2015, 10(5): 732-745. (SCI)
[23] Gexiang Zhang, Jixiang Cheng, Marian Gheorghe, Florentin Ipate, Xueyuan Wang. QEAM: an approximate algorithm using P systems with active membranes, International Journal of Computers, Communications & Control, 2015, 10(2): 263-279. (SCI)
[22] Tao Wang, Gexiang Zhang, Haina Rong, Mario J. Pérez-Jiménez. Application of Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis, International Journal of Computers, Communications & Control, 2014, 9(6):786-799. (SCI)
[21] Gexiang Zhang, Jixiang Cheng, Marian Gheorghe. Dynamic behavior analysis of membrane-inspired evolutionary algorithms. International Journal of Computers, Communications & Control, 2014, 9(2): 227-242. (SCI)
[20] Gexiang Zhang. P Systems and Evolutionary Computing Interactions, in the collective paper: Marian Gheorghe, Gheorghe Paun, Mario J. Perez-Jimenez, Grzegorz Rozenberg. Research frontiers of membrane computing: open problems and research topics. International Journal of Foundations of Computer Science, 2013, 24(5): 600-602.(SCI)
[19] Junbo Zhao, Gexiang Zhang, Xiaoru Wang, Donghai Zou. Distribution state estimation with renewable sources based distributed generations using a modified quantum-inspired evolutionary algorithm. Journal of Renewable and Sustainable Energy, 2013, 5(5): 053133. (SCI)
[18] Jixiang Cheng, Gexiang Zhang, Ferrante Neri. Enhancing distributed differential evolution with multicultural migration for global numerical optimization. Information Sciences, 2013, 247:72-93. (IF= 3.64, SCI, JCR=1)
[17] Zhu Ou, Gexiang Zhang, Xiaoli Huang. Automatic design of cell-like P systems through tuning membrane structures, initial objects and evolution rules. International Journal of Unconventional Computing, 2013, 9(5-6): 425-443. (SCI)
[16] Gexiang Zhang, Jixiang Cheng, Marian Gheorghe, Qi Meng. A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems, Applied Soft Computing, 2013, 13(3): 1528–1542. (SCI, ESI Highly Cited Paper)
[15] Gexiang Zhang, Fen Zhou, Xiaoli Huang, Jixiang Cheng, Marian Gheorghe, Florentin Ipate, Raluca Lefticaru. A novel membrane algorithm based on particle swarm optimization for solving broadcasting problems. Journal of Universal Computer Science, 2012, 18(13): 1821-1841. (SCI)
[14] Gexiang Zhang, Xu Li. A new recognition system for radar emitter signals. Kybernetes, 2012, 41(9): 1351-1360. (SCI)
[13] Gexiang Zhang, Marian Gheorghe, Yuquan Li. A membrane algorithm with quantum-inspired subalgorithms and its application to image processing, Natural Computing—An International Journal, 2012, 11(4): 701-717. DOI: 10.1007/s11047-012-9320-2. (SCI)
[12] Yuquan Li, Gexiang Zhang, Jixiang Cheng, Xiangxiang Zeng, Marian Gheorghe, Susan Elias. A modified estimation of distribution algorithm for digital filter design. Romanian Journal of Information Science and Technology, 2012, 15(1): 50–62. (SCI)
[11] Jixiang Cheng, Gexiang Zhang, Zhidan Li, Yuquan Li. Multi-objective ant colony optimization based on decomposition for bi-objective traveling salesman problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2012, 16(4): 597-614. (SCI)
[10] Susan Elias, Vanaja Gokul, Kamala Krithivasan, Marian Gheorghe, Gexiang Zhang. A variant of the distributed P system for real time cross layer optimization. Journal of Universal Computer Science, 2012, 18(13): 1760-1781. (SCI)
[9] Gexiang Zhang, Jixiang Cheng, Marian Gheorghe. A membrane-inspired approximate algorithm for traveling salesman problems, Romanian Journal of Information Science and Technology, 2011, 14(1): 3-19. (SCI)
[8] Ge-Xiang Zhang, Quantum-inspired evolutionary algorithms: a survey and empirical study, Journal of Heuristics, 2011, 17(3): 303-351. (SCI)
[7] Jixiang Cheng, Gexiang Zhang, Xiangxiang Zeng. A novel membrane algorithm based on differential evolution for numerical optimization. International Journal of Unconventional Computing, 2011, 7(3): 159-183. (SCI)
[6] Jun Wang, Li Zou, Hong Peng, Gexiang Zhang. An extended spiking neural P system for fuzzy knowledge representation. International Journal of Innovative Computing, Information and Control, 2011, 7(7A): 3709-3724. (SCI)
[5] Ge-Xiang Zhang, Chun-Xiu Liu, Hai-Na Rong. Analyzing radar emitter signals with membrane algorithms. Mathematical and Computer Modelling, 2010, 52(11-12): 1997-2010. (SCI)
[4] Ge-Xiang Zhang, Time-frequency atom decomposition with quantum-inspired evolutionary algorithms. Circuits, Systems and Signal Processing, 2010, 29(2): 209-233. (SCI)
[3] 张葛祥, 潘林强. 自然计算的新分支—膜计算. 计算机学报, 2010, 33(2): 208-214. (EI)
[2] Ge-Xiang Zhang, Marian Gheorghe, Chao-Zhong Wu, A quantum-inspired evolutionary algorithm based on P systems for knapsack problem, Fundamenta Informaticae, 2008, 87(1): 93-116. (SCI)
[1] Gexiang Zhang, Na Li, Weidong Jin, Laizhao Hu. Novel Quantum Genetic Algorithm and Its Applications. Frontiers of Electrical and Electronic Engineering in China. Springer, 2006, 1(1): 31-36 (张葛祥, 李娜, 金炜东, 胡来招. 一种新量子遗传算法及其应用, 电子学报, 2004, 32(3): 476-479) (EI)





Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
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所在单位： 电气工程学院
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学位： 工学博士学位
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Copyright ? 2019 西南交通大学. All Rights Reserved.蜀ICP备**号
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