[1]Pan W T. A new fruit fly optimization algorithm:Taking the financial distress model as an example[J].Journal of KnowledgeBased Systems,2012,26:6974.
[2]Pan W T. A new evolutionary computation approach:Fruit fly optimization algorithm[C]∥Proc of 2011 Conference of Digital Technology and Innovation Management,2012:1.
[3]Hu Wang, Li Zhishu. A simpler and more effective particle swarm optimization algorithm[J].Journal of Software,2007,18(4):862863.(in Chinese)
[4]Wang Xin, Du Kang, Qin Bing, et al. Drying rate modeling based on FOALSSVR[J].Control Engineering of China,2012,19(4):630633.(in Chinese)
[5]Wang Xuegang, Zou Zaojian. Identification of ship manoeuvring response model based on fruit fly optimization algorithm[J]. Journal of Dalian Maritime University, 2012,38(3):15.(in Chinese)
[6]Yang Ping, Sun Yanming, Liu Xiaolong, et al. Particle swarm optimization based on chemotaxis operation of bacterial foraging algorithm[J]. Application Research of Computers,2011,28(10):36403642.(in Chinese)
[7]Hu Jie. Research on the modified bacteria foraging optimization algorithm and its application[D].Wuhan:Wuhan University of Technology,2012.(in Chinese)
[8]Wang Ling. Intelligent optimization algorithms with applications[M].Beijing:Tsinghua University Press,2001.(in Chinese)
[9]Lin Chuan,Feng Quanyuan. New adaptive particle swarm optimization algorithm[J].Computer Engineering,2008,34(7):181183.(in Chinese)
[10]Wang Lianguo, Hong Yi, Shi Qiuhong. Global edition artificial fish swarm algorithm[J]. Journal of System Simulation,2009,21(23):74837486.(in Chinese)
[11]Pang Shan, Yang Xinyi, Zhang Xiaofeng. Chaotic mapping multi population quantumbehaved particle swarm optimization algorithm[EB/OL].[20111114].http://cnki.net/kcms/detail/11.2127.TP.20111114.0947.044.html.(in Chinese)
[12]Zhao Pengjun, Shao Zejun. Novel improved shuffled frog leaping algorithm[J]. Computer Engineering and Application,2012,48(8):4850.(in Chinese)
附中文参考文献:
[3]胡旺,李志蜀.一种更简化而高效的粒子群优化算法[J].软件学报,2007,18(4):862863.
[4]王欣,杜康,秦斌,等.基于果蝇优化算法的LSSVR干燥速率建模控制工程[J].控制工程,2012,19(4):630633.
[5]王雪刚,邹早建.基于果蝇优化算法的船舶操纵响应模型的辨识[J].大连海事大学学报,2012,38(3):15.
[6]杨萍,孙延明,刘小龙,等.基于细菌觅食趋化算子的PSO算法[J]. 计算机应用研究,2011,28(10):36403642.
[7]胡洁.细菌觅食优化算法的改进及应用研究[D].武汉:武汉理工大学,2012.
[8]王凌.智能优化算法及其应用[M].北京:清华大学出版社,2001.
[9]林川,冯全源.一种新的自适应粒子群优化算法[J].计算机工程,2008,34(7):181183.
[10]王联国,洪毅,施秋红.全局版人工鱼群算法[J].系统仿真学报,2009,21(23):74837486.
[11]逄姗,杨欣毅,张小峰.混沌映射的多种群量子粒子群优化算法[EB/OL].[20111114].http://cnki.net/kcms/detail/11.2127.TP.20111114.0947.044.html.
[12]赵鹏军,邵泽军.一种新的改进的混合蛙跳算法[J].计算机工程与应用,2012,48(8):4850. |