[1] Yang X S.Flower pollination algorithm for global optimization[C]// Unconventional Computation and Natural Computation. Berlin, Germany: Springer, 2012: 240-249. [2] Yang X S, Karamanoglu M, He X.Multi-objective flower algorithm for optimization[J]. International Conference on Computations Science (S1877-0509), 2013, 18(1): 861-868. [3] El-henawy I, Ismail M. An Improved Chaotic Flower Pollination Algorithm for Solving Large Integer Programming Problems[J]. International Journal of Digital Content Technology & its Applications (S1975-9339), 2014, 8(3): 72-81. [4] Marwa Sharawi, E Emary, Imane Aly Saroit, et al. Flower Pollination Optimization Algorithm for Wireless Sensor Network Lifetime Global Optimization[J]. International Journal of Soft Computing and Engineering (IJSCE)(S2231-2307), 2014, 4(3): 54-59. [5] Osama Abdel-Raouf, Ibrahim El-henawy, Mohamed Abdel-Baset.A Novel Hybrid Flower Pollination Algorithm with Chaotic Harmony Search for Solving Sudoku Puzzles[J]. I. J. Modern Education and Computer Science (S2075-0161), 2014, 7(3): 38-44. [6] R Prathiba, M Balasingh Moses, S Sakthivel.Flower Pollination Algorithm Applied for Different Economic Load Dispatch Problems[J]. International Journal of Engineering and Technology (IJET)(S0975-4024), 2014, 6(2): 1009-1016. [7] Wang Rui, Zhou Yongquan.Flower pollination algorithm with dimension by dimension improvement[J]. Mathematical Problems in Engineering (S1024-123X), 2014(4): 1-9. [8] Lenin K, Reddy B R, Kalavathi M S.Shrinkage of active power loss by hybridization of flower pollination algorithm with chaotic harmony search algorithm[J]. Control Theory and Informatics (S2224-5774), 2014, 4(8): 31-38. [9] 王凤鹤, 徐希莲, 陈强, 等. 北京蜜蜂授粉工作研究进展[J]. 中国峰业, 2012, 63(9): 28-30. (Wang Fenghe, Xu Xilian, Chen Qiang, et al.The research progress of the bees pollinated in Beijing[J]. Apiculture of china, 2012, 63(9): 28-30.) [10] Menrabian A R Lucas C. A novel numerical optimization algorithm insrired from weed colonization[J]. Ecological Informatics (S1574-9541), 2006, 1(4): 355-366. [11] 陈欢, 周永权, 赵光伟. 基于混沌序列的多种群入侵杂草算法[J]. 计算机应用, 2012, 32(7): 1958-1961. (Chen Huan, Zhou Yongquan, Zhao Guangwei.Multi-population invasive weed optomization algorithm based on chaotic swquence[J]. Journal of Computer Applications, 2012, 32(7): 1958-1961.) [12] 赵新超, 刘国莅, 刘虎球, 等. 基于非均匀变异和多阶段扰动的粒子群优化算法[J]. 计算机学报, 2014, 37(9): 2058-2070. (Zhao Xinchao, Liu Guoli, Liu Huqiu, et al.Particle Swarm Optimization Algorithm Based on Non-Uniform Mutation and Multiple Stages Perturbation[J]. Chinese Journal of Computers, 2014, 37(9): 2058-2070.) [13] 徐红洋, 田雨波, 黄太安. 基于云变异的云自适应粒子群算法[J]. 计算机仿真, 2012, 29(11): 251-255. (Xu Hongyang, Tian Yubo, Huang Taian.Cloud Adaptive Particle Swarm Optimization Algorithm Based on Clound Variation[J]. Computer Simulation, 2012, 29(11): 251-255.) [14] 刘长平, 叶春明. 具有混沌搜索策略的蝙蝠优化算法及性能仿真[J]. 系统仿真学报, 2013, 25(6): 1183-1188, 1195. (Liu Changping, Ye Chunming.Bat Algorithm with Chaotic Search Strategy and Analysis of Its property[J]. Journal of system Simulation (S1004-731X), 2013, 25(6): 1183-1188, 1195.) [15] 乔俊飞, 傅嗣鹏, 韩红桂. 基于混合变异策略的改进差分进化算法及函数优化[J]. 控制工程, 2013, 20(5):943-947. (Qiao Junfei, Fu Sipeng, Han Honggui.A Modified Differential Evolution Algorithm Based on Hybrid Mutation Strategy for Function Optimization[J]. Control Engineering of China, 2013, 20(5): 943-947.) |