[1] |
Kenney J,Eberhart R C.Particle swarm optimization[C]∥Proc of IEEE International Conference on Neural Networks,1995:19421948.
|
[2] |
Cao Ju, Chen Gang, Li Yanjiao. Multistrategy particle swarm optimization algorithm[J].Computer Engineering & Science,2014,36(9):15101515.(in Chinese)
|
[3] |
Chi Yuhong,Sun Fuchun,Wang Weijun,et al.An improved particle swarm optimization algorithm with search space zoomed factor and attractor[J].Chinese Journal of Computers,2011,34(1):115130.(in Chinese)
|
[4] |
Ni QingJian, Deng Jianming, Xing Hancheng. Dynamic probabilistic particle swarm optimization based on heterogeneous multiple population strategy [J].Pattern Recognition and Artificial Intelligence,2014,27(2):146152.(in Chinese)
|
[5] |
Zhan Z H,Zhang J,Li Y,et al.Adaptive particle swarm optimization[J]. IEEE Transactions on Systems, Man, and Cybernetics Part B:Cybernetics,2009,39(6):13621381.
|
[6] |
Beheshti Z,Shamsuddin S M H,Hasan S.MPSO:Medianoriented particle swarm optimization[J].Applied Mathematics and Computation,2013,219(11):58175836.
|
[7] |
Wang Hui, Wu Zhi jian, Rahnamayan S, et al. Enhancing particle swarm optimization using generalized opposition based learning[J]. Information Sciences,2011,181(20):46994714.
|
[8] |
He Qingyuan,Han Chuanjiu.Improved particle swarm optimization algorithm with disturbance term[J].Computer Engineer and Applications,2007,43(7):8486.(in Chinese)
|
[9] |
He Ran,Wang Yongji, Wang Qing, et al.An improved particle swarm optimization based on selfadaptive escape velocity[J].Journal of Software,2005,16(12):20362044.(in Chinese)
|
[10] |
Peng Li,Wang Maohai.An improved PSO method based on feedforward disturbance[J].Control Engineering of China,2012,19(1):102105.(in Chinese)
|
[11] |
Tao Xinmin,Liu Furong,Liu Yu, et al.Multiscale cooperative mutation particle swarm optimization algorithm[J].Journal of Software,2012,23(7):18051815.(in Chinese)
|
[12] |
Zhao Xinchao,Liu Guoli,Liu Huqiu,et al.Particle swarm optimization algorithm based on nonuniform mutation and multiple stages perturbation[J].Chinese Journal of Computers,2014,37(9):20582070.(in Chinese)
|
[13] |
Wang Yan.Improved discrete particle swarm optimization and application in attribute reduction[D].Harbin:Harbin Engineering University,2011.(in Chinese)
|
[14] |
Guo Chonghui,Tang Huanwen.Global convergence properties of evolution strategies[J].Mathematica Numerica Sinica,2001,23(1):105110.(in Chinese)
|
[15] |
Liang J J,Qin A K,Suganthan P N,et al.Comprehensive learning particle swarm optimizer for global optimization of multimodal functions [J]. IEEE Transactions on Evolutionary Computation,2006,10(3):281295.
|
[16] |
Mendes R,Kennedy J,Neves J.The fully informed particle swarm:Simpler,maybe better[J].IEEE Transactions on Evolutionary Computation,2004,8(3):204210.
|
[17] |
Shi Y,Eberhart R C.A modified particle swarm optimizer[C]∥Proc of the International Conference on Computational Intelligence,1998:6973.
|
[18] |
Kenned J,Mendes Y R.Population structure and particle swarm performance[C]∥Proc of the 2nd International Conference on Evolutionary Computation,2002:16711676.
|
[19] |
Gong Wenyin,Cai Zhihua,Charles X,et al.Enhanced differential evolution with adaptive strategies for numerical optimization[J].IEEE Transactions on Systems,Man,and Cybernetics,Part B:Cybernetics, 2011,41(2):397413.
|
[20] |
Friedman M.The use of ranks to avoid the assumption of normality implicit in the analysis of variance [J].Journal of the American Statistical Association,1937,32(200):675701.
|
[21] |
Fan Chengli,Xing Qinghua,Fan Haixiong,et al.Particle swarm optimization and variable neighborhood search algorithm with convergence criterions[J].Control and Decision,2014,29(4):696700.(in Chinese)
|
[22] |
Wang H,Wu Z,Rahnamayan S,et al.Multistrategy ensemble artificial bee colony algorithm[J].Information Sciences,2014(279):587603.
|
|
附中文参考文献:
|
[2] |
曹炬,陈钢,李艳姣.多策略粒子群优化算法[J].计算机工程与科学,2014,36(9):15101515.
|
[3] |
迟玉红,孙富春,王维军,等.基于空间缩放和吸引子的粒子群优化算法[J].计算机学报,2011,34(1):115130.
|
[4] |
倪庆剑,邓建明,邢汉承.基于异构多种群策略的动态概率粒子群优化算法[J].模式识别与人工智能,2014,27(2):146152.
|
[8] |
何庆元,韩传久.带有扰动项的改进粒子群算法[J].计算机工程与应用,2007,43(7):8486.
|
[9] |
赫然,王永吉,王青,等.一种改进的自适应逃逸微粒群算法及实验分析[J].软件学报,2005,16(12):20362044.
|
[10] |
彭力,王茂海.基于前馈扰动的粒子群改进算法[J].控制工程,2012,19(1):102105.
|
[11] |
陶新民,刘福荣,刘玉,等 一种多尺度协同变异的粒子群优化算法[J].软件学报,2012,23(7):18051815.
|
[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):20582070.
|
[13] |
王妍.离散微粒群改进算法及在属性约简中的应用[D].哈尔滨:哈尔滨工程大学,2011.
|
[14] |
郭崇慧,唐焕文.演化策略的全局收敛性[J].计算数学,2001,23(1):105110.
|
[21] |
范成礼,邢清华,范海雄,等.带审敛因子的变邻域粒子群算法[J].控制与决策,2014,29(4):696700.
|