1 M. Clerc, "The swarm and the queen: towards a deterministic and adaptive particle swarm optimization" 3 : 1957-, 2002
2 J. Kennedy, "The particle swarm: Social adaptation of knowledge" 303-308, 1997
3 M. Clerc, "The particle swarm - explosion, stability, and convergence in a multidimensional complex space" 6 (6): 58-73, 2002
4 R. Mendes, "The fully informed particle swarm: Simpler, maybe better" 8 (8): 204-210, 2004
5 J. Kennedy, "Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance" 3 : 1938-, 1999
6 R. L. Iman, "Small sample sensitivity analysis techniques for computer models with an application to risk assessment" 9 (9): 1749-1842, 1980
7 A. Ratnaweera, "Selforganizing hierarchical particle swarm optimizer with timevarying acceleration coefficients" 8 (8): 240-255, 2004
8 R. C. Eberhart, "Particle swarm optimization:developments, applications and resources" 1 : 81-86, 2002
9 J. Kennedy, "Particle swarm optimization" 4 : 1942-1948, 1995
10 R. E. Perez, "Particle swarm approach for structural design optimization" 85 (85): 1579-1588, 2007
1 M. Clerc, "The swarm and the queen: towards a deterministic and adaptive particle swarm optimization" 3 : 1957-, 2002
2 J. Kennedy, "The particle swarm: Social adaptation of knowledge" 303-308, 1997
3 M. Clerc, "The particle swarm - explosion, stability, and convergence in a multidimensional complex space" 6 (6): 58-73, 2002
4 R. Mendes, "The fully informed particle swarm: Simpler, maybe better" 8 (8): 204-210, 2004
5 J. Kennedy, "Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance" 3 : 1938-, 1999
6 R. L. Iman, "Small sample sensitivity analysis techniques for computer models with an application to risk assessment" 9 (9): 1749-1842, 1980
7 A. Ratnaweera, "Selforganizing hierarchical particle swarm optimizer with timevarying acceleration coefficients" 8 (8): 240-255, 2004
8 R. C. Eberhart, "Particle swarm optimization:developments, applications and resources" 1 : 81-86, 2002
9 J. Kennedy, "Particle swarm optimization" 4 : 1942-1948, 1995
10 R. E. Perez, "Particle swarm approach for structural design optimization" 85 (85): 1579-1588, 2007
11 V. Miranda, "Optimizing large scale problems with metaheuristics in a reduced space mapped by autoencoders—application to the wind-hydro coordination" 29 (29): 3078-3085, 2014
12 S. Rahnamayan, "Opposition-based differential evolution" 12 : 64-79, 2008
13 D. Karaboga, "On the performance of artificial bee colony(ABC)algorithm" 8 : 687-697, 2008
14 L. Zhao, "Multidisciplinary optimization of auto-body lightweight design using modified particle swarm optimizer" 2015
15 S. M. A. Salehizadeh, "Local optima avoidable particle swarm optimization" IEEE 16-21, 2009
16 H. B. Ouyang, "Improved global-bestguided particle swarm optimization with learning operation for global optimization problems" 52 (52): 987-1008, 2016
17 R. C. Eberhart, "Guest editorial special issue on particle swarm optimization" 8 (8): 201-203, 2004
18 M. Khalili, "Global dynamic harmonysearch algorithm : GDHS" 228 : 195-219, 2014
19 G. P. Zhu, "Gbest-guided artificial bee colony algorithm for numerical function optimization" 217 : 3166-3173, 2010
20 T. Peram, "Fitnessdistance-ratio based particle swarm optimization" 2003
21 M. D. Morris, "Exploratory designs for computational experiments" 43 (43): 381-402, 1995
22 Y. H. Shi, "Empirical study of particle swarm optimization" 101-106, 1997
23 D. R. Jones, "Efficient global optimization of expensive black-box functions" 13 (13): 455-492, 1998
24 J. J. Liang, "Dynamic multi-swarm particle swarm optimizer with local search" 1 : 522-528, 2005
25 H. Wang, "Diversity enhanced particle swarm optimization with neighborhood search" 223 (223): 119-135, 2013
26 R. Storn, "Differential evolution : A simple and efficient heuristic for global optimization over continuous spaces" 11 : 341-359, 1997
27 M. Clerc, "Confinements and biases in particle swarm optimization"
28 J. J. Liang, "Comprehensive learning particle swarm optimizer for global optimization of multimodal functions" 10 : 281-295, 2006
29 Y. Li, "Competitive and cooperative particle swarm optimization with information sharing mechanism for global optimization problems" 293 (293): 370-382, 2015
30 J. Kennedy, "Bare bones particle swarms" 80-87, 2003
31 J. M. Yang, "Applying family competition to evolution strategies for constrained optimization" 1213 : 201-211, 1997
32 Y. Marinakis, "An improved particle swarm optimization algorithm for the capacitated location routing problem and for the location routing problem with stochastic demands" 37 (37): 680-701, 2015
33 E. A. Mohammed, "An improved global-best harmony search algorithm" 222 : 94-106, 2013
34 R. Jin, "An efficient algorithm for constructing optimal design of computer experiments" 134 (134): 268-287, 2005
35 Z. H. Zhan, "Adaptive particle swarm optimization" 39 : 1362-1381, 2009
36 C. K. Monson, "Adaptive diversity in PSO" 59-66, 2006
37 A. Meng, "Accelerating particle swarm optimization using crisscross search" 329 (329): 52-72, 2016
38 M. Pant, "A simple diversity guided particle swarm optimization" 8 : 3294-3299, 2007
39 Y. H. Shi, "A modified particle swarm optimizer" 69-73, 1998
40 B. Haddar, "A hybrid quantum particle swarm optimization for the multidimensional knapsack problem" 55 (55): 1-13, 2016
41 J. Sun, "A diversity-guided quantumbehaved particle swarm optimization algorithm" 497-504, 2006
42 J. Riget, "A diversity-guide particle swarm optimizer - the ARPSO" EVALife 2-, 2002
43 M. D. McKay, "A comparison of three methods for selecting values of input variables from a computer code" 21 : 239-245, 1979