[1] LYU Y. Research test data generation based on genetic algorithm [D]. Shantou: Shantou University,2008.(律亚楠.基于遗传算法的测试数据生成研究[D].汕头:汕头大学,2008.) [2] FU B. Automated software test data generation based on ant colony algorithm [J]. Computer Engineering and Applications,2007,43(12):97-99. (傅博.基于蚁群算法的软件测试数据自动生成[J].计算机工程与应用,2007,43(12):97-99.) [3] LI L, CAO X, WANG F. Test data generation using simulated annealing genetic algorithm [J].Computer Technology and Development,2011,21(4):85-89. (李龙澍,曹殉,王凡.基于模拟退火遗传算法的测试数据生成研究[J].计算机技术与发展,2011,21(4):85-89.) [4] WINDISCH A, WAPPLER S, WEGENER J. Applying particle swarm optimization to software testing [C]//GECCO '07: Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation. New York: ACM, 2007: 1121-1128. [5] YUAN A, TANG Y, WAN C. Research on generation of software test data based on PSO [J].Computer and Digital Engineering, 2013,41(2):163-164,185. (袁爱国,唐一韬,万灿军.基于粒子群优化算法的软件测试数据生成研究[J].计算机与数字工程,2013,41(2):163-164,185.) [6] RATNAWECRA A, HALGAMUGE S, WATSON H C. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients [J]. IEEE Transactions on Evolutionary Computation, 2004, 8(3): 240-255. [7] CHEN S, CAI G, GUO W, et al. Research on PSO algorithm for accelerating factor in non-linear strategy [J]. Journal of Yangtze University (Natural Science Edition): Science and Engineering Version, 2007, 4(4): 1-4.(陈水利,蔡国榕,郭文忠,等.PSO算法加速因子的非线性策略研究[J].长江大学学报(自科版):理工卷,2007,4(4):1-4.) [8] SHI Y, EBERHART R C. Empirical study of particle swarm optimization [C]//CEC 99: Proceedings of the 1999 IEEE Congress on Evolutionary Computation. Piscataway: IEEE, 1999, 3: 1945-1950. [9] TIAN T, MAO M. Automatic software test data generation based on DWSPSO [J]. Computer Engineering and Design, 2011, 32(6): 2134-2137. (田甜,毛明志.基于DWSPSO的软件测试数据自动生成[J].计算机工程与设计,2011,32(6):2134-2137.) [10] MAO R, XU W, LU Y. Research test data generation method based on particle swarm-ant colony algorithms [J].Silicon Valley, 2013,6(1):91-93.(毛汝君,徐蔚鸿,逯燕玲.基于粒子群-蚁群混合算法的软件测试数据生成方法研究[J].硅谷,2013,6(1):91-93.) [11] ZHOU H, ZHANG S, LIU L, et al. Automatic generation of path test data based on GA-PSO [J]. Application Research of Computers, 2010, 27(4): 1366-1369. (周红,张胜,刘琳岚,等.基于GA-PSO算法的路径测试数据自动生成[J].计算机应用研究,2010,27(4):1366-1369.) [12] LI X, ENGELBRECHT A P. Particle swarm optimization: an introduction and its recent developments [C]//GECCO'07: Proceedings of the 9th Annual Conference Companion on Genetic and Evolutionary Computation. New York: ACM, 2007: 3391-3414. [13] SHI S, CHEN Y. Dynamic particle swarm optimization algorithm with hierarchical ring topology [J]. Computer Engineering and Applications, 2013,49(8): 1-5. (石松,陈云.层次环形拓扑结构的动态粒子群算法[J].计算机工程与应用,2013,49(8):1-5.) [14] RIGET J, VESTERSTROEM J S. A diversity-guided particle swarm optimizer — the ARPSO [R]. Aarhus, Denmark: University of Aarhus, Department of Computer Science, 2002. [15] KOREL B. Automated software test data generation [J]. IEEE Transactions on Software Engineering, 1990, 16(8): 870-879. |