吴志健 (武汉大学计算机学院 软件工程系 智能化软件与服务研究所 )

 吴志健
  • 姓名:   吴志健
  • 主页:  
  • 性别:  
  • 职称:  教授 (博导)
  • 学历学位:  博士
  • 电话:  
  • 办公地点:  
  • E-mail:  zhijianwu@whu.edu.cn
  • 领域:  智能计算
  • 招生信息:  年度招收硕士0名,招收方向:...请选择...。 招收博士0名,招收方向:...请选择...。

智能计算

1979年-1983年,江西大学(现南昌大学)数学系本科,1985年-1988年,武汉大学数学系硕士,2001年-2004年,武汉大学计算机学院博士。

1983年-1985年,江西教育学院(现南昌师范学院)数学系;1988年-2010年,武汉大学软件工程国家重点实验室;2010年至今,武汉大学计算机学院。

本科生《离散数学》、硕士生《并行算法》和《演化计算及应用》、博士生《可计算理论与计算复杂性》。

 

  1. Zhijian Wu and Lishan Kang. A fast and elitist parallel evolutionary algorithm for solving systems of non-linear equations[C]. Proceedings of 2003 Congress on Evolutionary Computation, 8-12, December 2003, Canberra, Australia, pp.1026-1028

  2. Zhijian Wu, Zhilong Tang, Jun Zou, Lishan Kang, and Mingbiao Li. Evolutionary algorithm for solving parameter identification problems in elliptic systems[C]. Proceedings of 2004 Congress on Evolutionary Computation, 19-23 June 2004, Portland, Oregon, USA, pp.803-808

  3. Zhijian Wu, Zhilong Tang, Jun Zou, Lishan Kang, and Mingbiao Li. An Evolutionary Algorithm for Parameters Identification in Parabolic Systems[C], Proceedings of 2004 Genetic and Evolutionary Computation Conference, 26-30 June 2004, Washington, USA, pp.1336-1337

  4. Zhijian Wu, Lishan Kang, Jun Zou, Zhilong Tang, and Mingbiao Li. An Evolutionary Algorithm for Identifying Parameters in Parabolic Systems[C]. Proceedings of International Symposium on Intelligence Computation & Its Applications 2005, 4-6 April 2005, Wuhan, China: 92-96

  5. Dazhi Jiang, Zhijian Wu, and Lishan Kang. A Simple and Effective Evolutionary Algorithm for Multimodal Function Optimization[C]. Proceedings of International Symposium on Intelligence Computation & Its Applications 2005, 4-6 April 2005, Wuhan, China, pp.257-261

  6. 姜大志,吴志健,康立山. 基因表达式程序设计的GRCM方法[J]. 系统仿真学报, 2006, 18(6): 1466-1468

  7. Zhijian Wu, Dazhi Jiang, and Lishan Kang, Evolutionary Algorithm for Identifying Discontinuous Parameters of Inverse Problems[C]. Proceedings of the International Conference on Computational Science 2007 (Y. Shi et al.(Eds.)), 27-30 May 2007, Beijing, China, Part IV, LNCS 4490, pp.1131-1138

  8. Zhijian Wu, Dazhi Jiang, Ming Wei, and Yuangxiang Li. Dynamical Evolution in Function Finding[C]. Proceeding of the Third International Conference on Nature Computation (ICNC), Jingsheng Lei, Jingtao Yao, and Qingfu Zhang (Eds.), 24--27 August, 2007, Haikou, China, Volume 5, pp.614-618

  9. Dazhi Jiang, Zhijian Wu, and Lishan Kang. Parameter Identifications in Differential Equations by Gene Expression[C]. Proceeding of the Third International Conference on Nature Computation (ICNC), Jingsheng Lei, Jingtao Yao, and Qingfu Zhang (Eds.), 24--27 August, 2007, Haikou, China, Volume 5, pp.644-648

  10. Dazhi Jiang and Zhijian Wu. Algorithm Based on Heuristic Subspace Searching Strategy for Solving Investment Portfolio Optimization Problems[C]. Proceedings of the IEEE Congress on Evolutionary Computation 2008(CEC 2008), 1-6 June 2008, Hong Kong, pp.607-611

  11. Dazhi Jiang and Zhijian Wu. Evolutionary Modeling Based on Overlap Reuse[C]. Proceedings of the IEEE Congress on Evolutionary Computation 2008(CEC 2008), 1-6 June 2008, Hong Kong, pp.612-616

  12. 吴志健,姜大志. 一种基于基因表达式程序设计的新算法[J]. 系统仿真学报, 2008, 20(8):1986-1989

  13. Hui Wang, Yong Liu, Zhijian Wu, Hui Song, Sanyou Zeng, and Lishang Kang. An Improved Particle Swarm Optimization with Adaptive Jumps[C]. Proceedings of the IEEE Congress on Evolutionary Computation 2008(CEC 2008), 1-6 June 2008, Hong Kong, pp.392-397

  14. Hui Wang, Zhijian Wu, Yong Liu, and Sanyou Zeng. Particle Swarm Optimization with a Novel Multi-parent Crossover Operator[C]. Proceedings of the 4th International Conference on Natural Computation (ICNC 2008), 25-27 August 2008, Jinan, China, pp.664-668

  15. Jinglei Guo, Zhijian Wu, and Zhejun Wu. An Improved Particle Swarm Optimization Algorithm based on Velocity Updating[C]. Proceedings of the 2008 IEEE International Conferences on Cybernetics & Intelligent Systems (CIS) and Robotics, Automation & Mechatronics (RAM) (CIS-RAM 2008), 22-24 September 2008Chengdu, China, pp.330-334

  16. 郭京蕾吴志健张建伟. 基于等级熵的自适应粒子群优化算法[J]. 华中科技大学学报(自然科学版), 2009, 37(4):65-68

  17. Jianwei Zhang, Zhijian Wu, Jinglei Guo, Min Peng, Yingjiang Zhang, and Chunzhi Wang. Evolving Classification Rules by Unconstrained Gene Expression Programming[C]. Proceedings of International Workshop on Intelligent Systems and Applications, 2009. ISA 2009. 23-24 May 2009, pp:1-4

  18. Jianwei Zhang, Zhijian Wu, Zongyue Wang, Jinglei Guo, and Zhangcan Huang. Unconstrained gene expression programming[C]. IEEE Congress on Evolutionary Computation, 2009. CEC '09. 18-21 May 2009, pp:2043-2048

  19. Hui Wang, Zhijian Wu, Yong, Liu, Jing Wang, Dazhi Jiang, and Lili Chen. Space Transformation Search: A New Evolutionary Technique[C]. The 2009 World Summit on Genetic and Evolutionary Computation, GEC 2009, June, 2009, 537-544

  20. Hui Wang, Zhijian Wu, and S. Rahnamayan. A scalability Test for Accelerated DE Using generalized Opposition-Based Learning[C]. Proceedings of Intelligent System Design and Applications, 2009, June, 2009, pp.1090-1095

  21. Hui Wang, Zhijian Wu, Jing Wang, Xiaojian Dong, Song Yu, and Cheng Chen. A New Population Initialization Method Based on Space Transformation Search[C]. Fifth International Conference on Natural Computation, ICNC 2009, August, 2009, 332-336

  22. Xiaojian Dong, Song Yu, Zhijian Wu, and Zhangxing Chen. A hybrid parallel evolutionary algorithm based on elite-subspace strategy and space transformation search[C]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 5938 LNCS, p 139-145, 2010, High Performance Computing and Applications - Second International Conference, HPCA 2009,  August, 2009

  23. Song Yu, Zhijian Wu, Hui Wang, and Zhangxing Chen. A hybrid particle swarm optimization algorithm based on space transformation search and a modified velocity model[C]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 5938 LNCS, p522-527, 2010, High Performance Computing and Applications - Second International Conference, HPCA 2009, August, 2009

  24. Jing Wang, Zhijian Wu, Hui Wang, and Lishan Kang. A Novel Evolutionary Algorithm Based on Multi-parent Crossover and Space Transformation Search[C]. The Proceeding of 4th International Symposium on Intelligence Computation and Applications, Huangshi, China, Oct. 23-25, 2009, Springer-Verlag Berlin, Heidelberger Platz 3, D-14197 Berlin, Germany 2009:201-210

  25. 张建伟,吴志健,黄樟灿,姜大志,郭京蕾. 基于多表达式编程的分类算法研究[J]. 小型微型计算机系统,2010, 31(7): 1371-1374

  26. Hui Wang, Zhijian Wu, Sanyou Zeng, Dazhi Jiang, Yong Liu, Jing Wang, and Xianqiang Yang. A Simple and Fast Particle Swarm Optimization[J]. J. of Mult.-Valued Logic & Soft Computing, 2010, 16:611-629

  27. Hui Wang, Zhijian Wu, and Shahryar Rahnamayan. Differential Evolution Enhanced by Neighborhood Search[C]. In Proceedings of IEEE Congress on Evolutionary Computation, July, 2010, 1-8

  28. Hui Wang, Zhijian Wu, Shahryar Rahnamaya, and Dazhi Jiang. Sequential DE Enhanced by Neighborhood Search for Large Scale Global Optimization[C]. In Proceedings of IEEE World Congress on Computational Intelligence 2010: 4056-4062

  29. Xuezhi Yue, Zhijian Wu, Dazhi Jiang, and Kangshun Li. GPS Height Fitting using Gene Expression Programming[C]. In Proceedings of International Symposium on  Intelligence Computation and Applications, October, 2010, LNCS: 25-32

  30. Dazhi Jiang, Hui Wang, and Zhijian Wu. A Variant of Differential Evolution Based on Permutation Regulation Mechanism[C]. In Proceedings of International Symposium on  Intelligence Computation and Applications, October, 2010, LNCS: 76-85

  31. Hui Wang, Zhijian Wu, Shahryar Rahnamayan, and Jing Wang. Diversity Analysis of Opposition-Based Differential Evolution—an Experimental Study[C]. In Proceedings of International Symposium on Intelligence Computation and Applications, October, 2010, LNCS:95-102

  32. Jing Wang, Zhijian Wu, and Hui Wang. Hybrid Differential Evolution Algorithm with Chaos and Generalized Opposition-Based Learning[C]. In Proceedings of International Symposium on Intelligence Computation and Applications, October, 2010, LNCS:103-111

  33. Xiaojian Dong, Zhijian Wu, Zhaolu Guo, Hui Wang, and Kangshun Li. Research on FPGA Chip of Software/Hardware Co-Design for Calculating Super-high-order Matrix[C]. 2010 3rd International Conference on Power Electronics and Intelligent Transportation System, 554-557.

  34. 赵青杉, 吴志健, 孟国艳. 一种新的混合智能算法及其在属性约简中的应用[J] 武汉大学学报(理学版), 2010,56(6): 723-728

  35. Xuezhi Yue, Zhijian Wu, and Kangshun Li. Particle Gradient Multi-objective Evolutionary Algorithm Based on GPU with CUDA[C]. International Symposium on Information Science and Engineering (ISISE), 2010: 540 - 544

  36. Jing Wang, Zhijian Wu, and Hui Wang. A Novel Particle Swarm Algorithm for Solving Parameter Identification Problems on Graphics Hardware[J]. Journal of Computational Science and Engineering, 2011, 6(1/2): 43-51

  37. Hui Wang, Zhijian Wu, Shahryar Rahnamaya, Changhe Li, Sanyou Zeng, and Dazhi Jiang. Particle Swarm Optimization with Simple and Efficient Neighborhood Search Strategies[J]. Int. J. Innovative Computing and Applications, 2011, 3(2): 97-104

  38. 汪靖,吴志健. GPU上求解大规模优化问题的反向策略的PSO算法 [J] 武汉大学学报,2011, 57(2): 148-154

  39. Dong Xiaojian, Wu Zhijian, Dong Chao, Chen Zhangxin, and Wang Hui. Optimization of Vertical Well Placement by Using a Hybrid Particle Swarm Optimizer[J]. Wuhan University Journal of Natural Sciences , 2011, 16(3): 237-240

  40. Hui Wang, Zhijian Wu, and Shahryar Rahnamayan. Enhanced Opposition-based Differential Evolution for Solving High-dimensional Continuous Optimization Problems[J]. Soft Computing, 2011,15(11):2127-2140

  41. Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Yong Liu, and Mario Ventresca. Enhancing Particle Swarm Optimization Using Generalized Opposition-Based Learning[J]. Information Sciences, 2011, 181(20): 4699-4714

  42. Hui Wang, Shahryar Rahnamayan, and Zhijian Wu. Adaptive Differential Evolution with Variable Population Size for Solving High-Dimensional Problems[C]. Proceedings of IEEE Congress on Evolutionary Computation, 2011: 2626-2632

  43. Jinglei Guo, Zhijian Wu. Parameter Identifications of Elliptic Differential Equation by Hybrid Particle Swarm Optimization[J]. Information Technology Journal, 2011, 10(1): 152-157

  44. Zhaolu Guo, Zhijian Wu, Xiaojian Dong, Dongming Jiang, and Fahong Yu. A Novel Function Regression Algorithm Based on Gene Expression Programming Ensembles[J]. International Journal of Advancements in Computing Technology (IJACT), 2012, 4(1): 239-247

  45. 郭肇禄吴志健董晓健李元香. 一种基于分量热力学迁移策略的并行多种群GEP[J]. 四川大学学报(工程科学版), 2012, 44(2):83-90

  46. Xuezhi Yue, Zhijian Wu, and Zhaolu Guo. Particle Dynamic Multi-objective evolutionary Algorithm Based on Graphic Process Unit[J], International Journal of Advancements in Computing Technology(IJACT), 2012, 4(10):88-98

  47. Xinyu Zhou, Zhijian Wu, and Hui Wang. Elite Opposition-based Differential Evolution for Solving Large-scale Optimization Problems and Its Implementation on GPU[C]. The 13th International Conference on Parallel and Distributed Computing, Applications and Technologies, December 2012, pp: 727-732

  48. Song Yu, Zhijian Wu, Hui Wang, Zhangxin Chen, and He Zhong. A Hybrid Particles Swarm Optimization Algorithm Based on Space Transformation Search and a Modified Velocity Model[J]. International Journal of Numerical Analysis ans Modeling, 2012, 9(2): 371-377

  49. Xiao Tang, Zhijian Wu. SPPSO Algorithm for HBV Dynamics Model[J]. Journal of Computational Information Systems, 2013, 9(6): 2517-2524

  50. Xiao Tang, Zhijian Wu, Lejiang Guo, and Ming Chen. The Realization of the Sample Learning Based on Differential Evolution Algorithm[M]. Advanced Materials Research, V616-618: 2239-2243, 2013

  51. Hui Wang, Shahryar Rahnamayan, and Zhijian Wu. Parallel differential evolution with self-adapting control parameters and generalized opposition-based learning for solving high-dimensional optimization problems[J]. Journal of Parallel and Distributed Computing, 2013, 73(1): 62-73

  52. Jinglei Guo, Zhijian Wu, and Bin Zhao. A hybrid particle swarm optimisation with social weight for non-convex economic dispatch problem[J]. Int. J. Computer Applications in Technology, 2013, 46(3): 252-258

  53. 周新宇, 吴志健, 王晖, 李康顺, 张浩宇. 一种精英反向学习的粒子群算法[J]. 电子学报, 2013, 41(8):1647-1652

  54. 郭肇禄, 吴志健, 汪靖, 汪慎文, 谢承旺. 一种基于精英云变异的差分演化算法[J]. 武汉大学学报(理学版), 2013, 59(2):117-122

  55. 王则林, 吴志健, 尹兰. IPV6环境下的高维大规模包匹配算法[J]. 电子学报, 2013, 41(14):2181-2186

  56. Hui Wang, Zhijian Wu, Xinyu Zhou, and Shahryar Rahnamayan. Accelerating Artificial Bee Colony Algorithm by Using an External Archive[C]. June 20-23, 2013 IEEE Congress on Evolutionary Computation: 517-521

  57. Dang Cong Tran, Zhijian Wu, and Hui Wang. A novel enhanced particle swarm optimization method with diversity and neighborhood search[C]. Proceedings of 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC): 180 – 187

  58. Dang Cong Tran, Zhijian Wu, Hui Wang, and Van Hung Tran. Differential evolution with nonlinear simplex method and dynamic neighborhood search[C]. The Proceedings of the Fifth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2013), Hanoi, Vietnam, 2013: 37-43

  59. Dang Cong Tran, Zhijian Wu, and Van Xuat Nguyen. A new approach based on enhanced PSO with neighborhood search for data clustering[C]. The Proceedings of the Fifth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2013), Hanoi, Vietnam, 2013: 104-110

  60. 彭虎, 吴志健, 周新宇, 邓长寿. 基于精英区域学习的动态差分进化算法[J]. 电子学报, 2014, 42(8): 1522-1530

  61. Zhaolu Guo, Zhijian Wu, Xiaojian Dong, Kejun Zhang, Shenwen Wang, and Yuanxiang Li. Component Thermodynamical Selection Based Gene Expression Programming for Function Finding[J]. Mathematical Problems in Engineering, vol. 2014, Article ID 915058, 16 pages, doi:10.1155/2014/915058, 2014

  62. Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Hui Sun, Yong Liu, Jengshyang Pan, Multi-strategy ensemble artificial bee colony algorithm[J]. Information Sciences, 2014, 279: 587603

  63. Dang Cong Tran, Zhijian Wu. New Approaches of Binary Artificial Bee Colony Algorithm for Solving 0-1 Knapsack Problem[J]. Advances in information Sciences and Service Sciences (AISS), 2014, 6(2): 1-11

  64. Dang Cong Tran, Zhijian Wu, and Hui Wang. A New Approach of Diversity Enhanced Particle Swarm Optimization with Neighborhood Search and Adaptive Mutation[C]. The 21st International Conference on Neural Information Processing (ICONIP2014):143-150

  65.  Dang Cong Tran, and Zhijian Wu. Data Clustering Based on Particle Swarm Optimization with Neighborhood Search and Cauchy Mutation[C]. The 21st International Conference on Neural Information Processing (ICONIP2014):151-159

  66. Dang Cong Tran, Zhijian Wu, and Van Hung Tran. Fast Generalized Fuzzy C-means Using Particle Swarm Optimization for Image Segmentation[C]. The 21st International Conference on Neural Information Processing (ICONIP2014):263-270

  67. Xinyu Zhou, Zhijian Wu, Hui Wang, Shahryar Rahnamayan. Enhancing differential evolution with role assignment scheme[J]. Soft Computing, 2014,18(11):2209-2225

  68. Huichao Liu, Zhijian Wu, Huanzhe Li,  Hui Wang, Shahryar Rahnamayan, Changshou Deng. Rotation-based learning: A novel extension of opposition-based learning[C]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 8862, p 511-522, 2014

  69. Huichao Liu, Zhijian Wu, Hui Wang, Shahryar Rahnamayan,  Changshou Deng. Improved differential evolution with adaptive opposition strategy[C]. Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014, p 1776-1783, September 16, 2014

  70. Wang Zelin, Wu Zhijian, and Deng Changshou. Packet Matching Based on Multiple Kernel Support Vector Machine[J]. Sensor Letters, 2014, 12(2): 294-299 (February 1, 2014)

  71. 刘会超, 吴志健, 李焕哲, 王智超. 基于差分演化算法的双曲型方程参数识别[J]. 武汉大学学报(理学版), 2015, 61(2):117-123

  72. Dang Cong Tran, Zhijian Wu, and Changshou Deng. A novel approach of particle swarm optimization and application in data clustering[J]. Intelligent Data Analysis, 2015, 19(5): 1049-1070

  73. 邵鹏, 吴志健, 周炫余. 基于反向学习的粒子群算法对线性相位低通FIR滤波器优化[J]. 吉林大学学报(工学版), 2015, 45(3):907-912

  74. Tran Dang Cong, Wu Zhijian, Wang Zelin, and Deng Changshou. A Novel Hybrid Data Clustering Algorithm Based on Artificial Bee Colony Algorithm and K-Means[J]. Chinese Journal of Electronics, 2015, 24(4):694-701

  75. 周新宇, 吴志健, 邓长寿, 彭虎. 一种邻域搜索的人工蜂群算法[J]. 中南大学学报(自然科学版), 2015, 46(2): 534-546

  76. Dang Cong Tran, and Zhijian Wu. A New Approach of Dynamic Clustering Based on Particle Swarm Optimization and Application in Image Segmentation[J]. Computing and Informatics

  77. 刘会超, 吴志健. 基于旋转学习机制的差分演化算法[J]. 电子学报, 2015, 43(10):2040-2046

  78. 邵鹏, 吴志健, 周炫余, 邓长寿. 基于折射原理反向学习模型的改进例子群算法[J]. 电子学报, 2015, 43(11):2137-2144

  79. Hu Peng, Zhijian Wu. Heterozygous differential evolution with Taguchi local search. Soft Computing, 2015,19(11):3273-3291

  80. 彭虎, 吴志健, 周新宇, 邓长寿. 基于三角的骨架差分进化算法[J]. 计算机研究与发展. 2015, 52 (12): 2776-2788

  81. Peng Shao, Zhijian Wu, Xuanyu Zhou, Xinyu Zhou, Zelin Wang, and Dang Comg Tran. A Numerical Optimization Algorithm Based on Bacterial Reproduction[C]. Proceedings of International Conference on Neural Information Processing (ICONIP ), 2015:654-661

  82. Zelin Wang, Zhijian Wu, Xinyu Zhou, Ruimin Wang, and Peng Shao. Neural Network with Evolutionary Algorithm for Packet Matching[C]. Proceedings of International Conference on Neural Information Processing (ICONIP ), 2015:44-51

  83. Zelin Wang, Zhijian Wu, Ruimin, and Yafeng Ren. Twitter Sarcasm Detection Exploiting a Context-Based Model[C]. Proceedings of Web Information System Engineering (WISE), 2015:77-91

  84. 李焕哲,吴志健,郭肇禄. 两阶段多峰优化算法求解纳什均衡[J]. 武汉大学学报(理学版)2016, 62(5): 444-450

  85. 李焕哲,吴志健,郭肇禄,刘会超,汪慎文. 基于两阶段搜索算法的多峰函数优化[J]. 电子学报,2016, 44(6): 1481-1489

  86. Hu Peng, Zhijian Wu, Peng Shao, and Changshou Deng. Dichotomous Binary Differential Evolution for Knapsack Problems[J]. Mathematical Problems in Engineering, 2016

  87. Xinyu Zhou, Zhijian Wu, Hui Wang, and Shahryar Rahnamayan. Gaussian bare-bones artificial bee colony algorithm[J], Soft Computing, 2016, 20(3): 907-924
  88. Shao P, Wu Z, Zhou X, et al. FIR digital filter design using improved particle swarm optimization based on refraction principle[J]. Soft Computing, 2017, 21(10):2631-2642

  89. Dang Cong Tran*, Wu, Zhijian. A new approach of dynamic clustering based on particle swarm optimization and application in image segmentation[J]. Computing and Informatics, 2017, 36(3): 637-663

  90. Peng H, Wu Z*, Deng C. Enhancing differential evolution with commensal learning and uniform local search[J]. Chinese Journal of Electronics, 2017, 26(4): 725-733

主持或参与国家自然科学基金、“863”计划等各类科研项目20余项。

  1. 成果《异步并行算法》获1992年度国家教委科技进步(甲类)一等奖;

  2. 成果《异步并行算法与区域分裂法》获1993年度国家自然科学奖(甲类)四等奖;

  3. 成果《并行演化优化与建模算法2005年度湖北省自然科学奖一等奖

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