[1]WANG H, TANG G. An asynchronous parallel simulated annealing algorithm for function optimization problems[J]. Control and Decision,2005,20(5):579-582. (王华,唐国金.函数优化问题的一种异步并行模拟退火算法[J].控制与决策,2005,20(5):579-582.)
[2]XU P, MIAO Q, LI W, et al. Adaptive simulated annealing algorithm and tabu search algorithm based on the function complexity[J]. Acta Electronica Sinica,2012,40(6):1218-1222.(许鹏飞,苗启广,李伟生,等.基于函数复杂度的自适应模拟退火和禁忌搜索新算法[J].电子学报,2012,40(6):1218-1222.)
[3]CHEN D, ZHAO C. Ladder particle swarm optimization and application in function optimization[J]. Journal of System Simulation,2007,19(24): 5659-5662.(陈得宝,赵春霞.阶梯型粒子群算法及在函数优化中的应用[J].系统仿真学报,2007,19(24):5659-5662.)
[4]DENG T, YAO H, DU J. Improved artificial fish swarm mixed algorithm for multimodal function optimization[J]. ,2012,32(10):2904-2906.(邓涛,姚宏,杜军.多峰函数优化的改进人工鱼群混合算法[J].计算机应用,2012,32(10):2904-2906.)
[5]HE Z, WANG X. Adaptive bee-ant colony optimization[J]. Application Research of Computers,2012,29(1): 130-134.(何宗耀,王翔.蜂群蚁群自适应优化算法[J].计算机应用研究,2012,29(1):130-134.)
[6]WANG X, CAO L. Genetic algorithms — theory, application and software[M].Xi'an:Xi'an Jiaotong University Press,2002.(王小平,曹立明.遗传算法——理论、应用与软件实现[M].西安:西安交通大学出版社,2002.)
[7]YE H, LUO F, XU Y. Improve dimmune algorithm and its applications to function optimization[J]. Systems Engineering and Electronics,2011,33(2):464-467.(叶洪涛,罗飞,许玉格.改进的免疫算法及其在函数优化中的应用[J].系统工程与电子技术,2011,33(2):464-467.)
[8]BABAYIGIT B, OZDEMIR R. A modified artificial bee colony algorithm for numerical function optimization[C]// Proceedings of the 2012 IEEE Symposium on Computers and Communications. Piscataway: IEEE Press,2012:245-249.
[9]ZHOU C, XIE A. Dynamic niche-based self-organizing learning algorithm[J]. Journal of Software, 2011, 22(8): 1738-1748.(周传华,谢安世.一种基于动态小生境的自组织学习算法[J].软件学报,2011,22(8):1738-1748.)
[10]QIAO P, ZHENG L, MA L. Research on a niche genetic algorithm[J]. Journal of Harbin University of Science and Technology, 2011,16(1):90-93.(乔佩利,郑林,马丽丽.一种小生境遗传算法研究[J].哈尔滨理工大学学报,2011,16(1):90-93.)
[11]LU Q, XIE P, SUN B. Sharing scheme-based adaptive hybrid genetic algorithm[J]. Computer Simulation, 2012, 29(12): 274-278.(陆青,谢品杰,孙波.基于共享机制的自适应混合遗传算法[J].计算机仿真,2012,29(12):274-278.)
[12]ZHANG X, DAI G, XU N. Study on diversity of population in genetic algorithms[J]. Control Theory and Applications, 1998,15(1):17-23.(张晓绩,戴冠中,徐乃平.遗传算法种群多样性的分析研究[J].控制理论与应用,1998,15(1):17-23.)
[13]XING X, YAN J. A novel genetic algorithm based on diversity maintaining and its simulation[J]. Computer Simulation, 2010,27(4):206-209.(邢小军,闫建国.一种基于多样性保持的遗传算法及其仿真[J].计算机仿真, 2010, 27(4): 206-209.)
[14]LI M. The basic theory and application of genetic algorithms[M]. Beijing: Science Press,2002:164-165.(李敏强.遗传算法的基本理论与应用[M].北京:科学出版社, 2002: 164-165.) |