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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 2008，chengdu, china, pp.330-334
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
汪靖，吴志健. 在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
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
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
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
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
jinglei guo, zhijian wu. parameter identifications of elliptic differential equation by hybrid particle swarm optimization[j]. information technology journal, 2011, 10(1): 152-157
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
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
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
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
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
xiao tang, zhijian wu. sppso algorithm for hbv dynamics model[j]. journal of computational information systems, 2013, 9(6): 2517-2524
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
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
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
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
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
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
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
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
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
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
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
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
hui wang, zhijian wu, shahryar rahnamayan, hui sun, yong liu, jengshyang pan, multi-strategy ensemble artificial bee colony algorithm[j]. information sciences, 2014, 279: 587–603
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
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
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
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
xinyu zhou, zhijian wu, hui wang, shahryar rahnamayan. enhancing differential evolution with role assignment scheme[j]. soft computing, 2014,18(11):2209-2225
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
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
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)
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
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
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
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
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
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
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
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
hu peng, zhijian wu. heterozygous differential evolution with taguchi local search. soft computing, 2015,19(11):3273-3291
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
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
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
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
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
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
hu peng, zhijian wu, peng shao, and changshou deng. dichotomous binary differential evolution for knapsack problems[j]. mathematical problems in engineering, 2016
xinyu zhou, zhijian wu, hui wang, and shahryar rahnamayan. gaussian bare-bones artificial bee colony algorithm[j], soft computing, 2016, 20(3): 907-924
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
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
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