[1] EBERCHART R, KENNEDY J. A new optimizer using particle swarm theory[C]// Proceedings of the Sixth International Symposium on Micro Machine and Human Science. Piscataway: IEEE Press, 1995:39-43. [2] QU B, SUGANTHAN P N, DAS S. A distance-based locally informed particle swarm model for multimodal optimization[J]. IEEE Transactions on Evolutionary Computation, 2013, 17(3): 387-402. [3] PALAFOX L, NOMAN N, IBA H. Reverse engineering of gene regulatory networks using dissipative particle swarm optimization[J]. IEEE Transactions on Evolutionary Computation, 2013, 17(4): 577-587. [4] SHANKAR B L, BASAVARAIAPPA S, CHEN J C H, et al. Location and allocation decisions for multi-echelon supply chain network — a multi-objective evolutionary approach[J]. Expert Systems with Applications, 2013, 40(2): 551-562. [5] SHI Y, EBERHART R. A modified particle swarm optimizer[C]// Proceedings of the 1998 IEEE World Congress on Computational Intelligence. Piscataway: IEEE Press, 1998: 69-73. [6] RATNAWEERA A, HALGAMUGE S, WASTON H C. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients[J]. IEEE Transactions on Evolutionary Computation, 2004, 8(3): 240-255. [7] ZHAN Z, ZHANG J, LI Y, et al. Adaptive particle swarm optimization[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2009, 39(6): 1362-1381. [8] LIANG J, QIN A, 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): 281-295. [9] JIN M, LU H. A multi-subgroup hierarchical hybrid of genetic algorithm and particle swarm optimization[J]. Control Theory and Applications, 2013, 30(10):1231-1238.(金敏, 鲁华祥. 一种遗传算法与粒子群优化的多子群分层混合算法[J]. 控制理论与应用, 2013, 30(10):1231-1238.) [10] TAO X, LIU F, LIU Y, et al. Multi-scale cooperative mutation particle swarm optimization algorithm[J].Journal of Software,2012,23(7):1805-1815.(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):1805-1815.) [11] van den BERGH F, ENGELBRECHT A P. A cooperative approach to particle swarm optimization[J]. IEEE Transactions on Evolutionary Computation, 2004, 8(3): 225-239. [12] SHI Y. Population diversity of particle swarms[C]// Proceedings of the 2008 IEEE Congress on Evolutionary Computation. Piscataway: IEEE Press, 2008: 1063-1067. [13] LIM W H, ISA N A M. An adaptive two-layer particle swarm optimization with elitist learning strategy[J]. Information Sciences, 2014, 273: 49-72. [14] LIANG J, SUGANTHAN P N, DEB K. Novel composition test functions for numerical global optimization[C]// SIS 2005: Proceedings of the 2005 IEEE Swarm Intelligence Symposium. Piscataway: IEEE Press, 2005: 68-75. [15] JI Z, ZHOU J, LIAO H, et al. A novel intelligent single particle optimizer[J].Chinese of Journal of Computers,2010,33(3):556-561.(纪震,周家锐,廖惠连,等. 智能单粒子优化算法[J].计算机学报, 2010,33(3):556-561.) |