[1]秦全德,李丽,程适,等.交互学习的粒子群优化算法[J].智能系统学报,2012,7(6):547-553.
 QIN Quande,LI Li,CHENG Shi,et al.Interactive learning particle swarm optimization algorithm[J].CAAI Transactions on Intelligent Systems,2012,7(6):547-553.
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交互学习的粒子群优化算法

参考文献/References:
[1]EBERHART R C, KENNEDY J. Particle swarm optimization [C]//IEEE International Conference on Neural Networks. Perth, Australia, 1995: 19421948.
[2]KENNEDY J, EBERHART R C. Empirical study of particle swarm optimization[C]//Proc of Congress on Evolutionary Computation. Washington, DC, USA, 1999: 19451949.
[3]ANGELINE P J. Evolutionary optimization versus particle swarm optimization and philosophy and performance difference[C]//Proc of 7th Annual Conference on Evolutionary Programming. San Diego, USA, 1998: 601610.
[4]SHI Y, EBERHART R C. A modified particle swarm optimizer[C]//IEEE Congress on Evolutionary Computation Anchorage. AK, NJ, 1998: 6973.
[5]FAN S K S, LIANG Y C, ZAHARA E. Hybrid simplex search and particle swarm optimization for the global optimization of multimodal functions[J]. Engineering Optimization, 2004, 36: 401418.
[6]SUGANTHAN P N. Particle swarm optimizer with neighborhood operator[C]//Proc of the IEEE Congress of Evolutionary Computation. Washington DC, USA, 1999: 19581961.
[7]杨雪榕,梁加红,陈凌,等. 多邻域改进粒子群算法[J]. 系统工程与电子技术, 2010, 32(11): 24532458. 
YANG Xuerong, LIANG Jiahong, CHEN Ling,et al. Multineighbourhood improved particle swarm optimization algorithm[J]. Systems Engineering and Electronics, 2010, 32(11): 24532558. 
[8]杨帆,胡春平,颜学峰. 基于蚁群系统的参数自适应粒子群算法及其应用[J]. 控制理论与应用, 2010, 27(11):14791488. 
YANG Fan, HU Chunping, YAN Xuefeng. Particle swarm optimization algorithm of selfadaptive parameter based on ant system and its application[J]. Control Theory & Applications, 2010, 27(11): 14791488.
[9]ZHANG W J, XIE X F. DEPSO: hybrid particle swarm with differential evolution operator[C]//Proc of IEEE International Conference on System, Man and Cybernetic. Washington DC, USA, 2003: 38163821.
[10]HE S, WU Q H, WEN J Y, et al. A particle swarm optimizer with passive congregation[J]. BioSystems, 2004, 78: 135147.
[11]秦全德,李荣钧. 基于生物寄生行为的双种群粒子群算法[J]. 控制与决策, 2011, 26(4): 548552.
QIN Quande, LI Rongjun. Twopopulation particle swarm optimization algorithm based bioparasitic behaviour[J]. Control and Decision, 2011, 26(4): 548552.
[12]LIANG J J, QIN K, SUGANTHAN P N. Comprehensive learning particle swarm optimization for global optimization of multimodal functions[J]. IEEE Transactions on Evolutionary Computation, 2006, 6(3): 281295.
[13]HUANG H, QIN H, HAO Z F, et al. Exampledbased learning swarm optimization for continuous optimization [J]. Information Sciences, 2011, 182(1): 125138.
[14]CLERC M, KENNEDY J. The particle swarm: explosion, stability, and convergence in multi dimensional complex space[J]. IEEE Transactions on Evolutionary Computation, 2002, 6: 5873.
[15]SABAT S L, UDGATA S K. Integrated learning particle swarm optimizer for global optimization[J]. Applied Soft Computing, 2011, 11(1): 574584.
[16]WANG Y, LI B, WEISE T, et al. Selfadaptive learning based particle swarm optimization[J]. Information Sciences, 2011, 182(20): 45154538.
[17]PERAM T, VEERAMACHANENI K, MOHAN C K. Fitnessdistanceratio based particle swarm optimization [C]//Proc of the Swarm Intelligence Symposium. Indianapolis, USA, 2003: 174181.
[18]SUGANTHAN P N, HANSEN N, LIANG J J, et al. Problem definitions and evaluation criteria for the CEC 2005 special session on realparameter optimization[R/OL].http://www.ntu.edu. sg/home/EPNSugan.
[19]SALOMON R. Reevaluating genetic algorithm performance under coordinate rotation of benchmark functions[J]. Biosystems, 1996, 39: 263278.
[20]RATNAWEERA A, HALGAMUGE S K, 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.
[21]王凌,李令莱,郑大钟. 非线性系统参数估计的一类有效搜索策略 [J]. 自动化学报, 2003, 29: 953958. 
WANG Ling, LI Lingtai, ZHENG Dazhong. A class of effective search strategies for parameter estimation of nonlinear systems[J]. Acta Automatica Sinica, 2003, 29:953958.
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备注/Memo

收稿日期: 2012-05-07.
网络出版日期:2012-11-16.
基金项目:国家自然科学基金资助项目(71071057,71001072);广东省自然科学基金资助项目(S2011010001337).
通信作者:秦全德.
E-mail:qinquande@gmail.com.
作者简介:
秦全德,男,1979年生,讲师,博士,主要研究方向为智能计算及其应用、管理决策与优化等发表学术论文10余篇.

更新日期/Last Update: 2013-03-19
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