Bibliometric Survey on Particle Swarm Optimization Algorithms (2001–2021)

Table 1

Top cited publications on PSOA research.

References	Title	Journal/Source title	Cited by
Eberhart and Shi [18]	Particle swarm optimization: developments, applications, and resources	Proceedings of the IEEE conference on evolutionary computation, ICEC	3702
Coello et al. [19]	Handling multiple objectives with particle swarm optimization	IEEE transactions on evolutionary computation	3082
Liang et al. [20]	Comprehensive learning particle swarm optimizer for global optimization of multimodal functions	IEEE transactions on evolutionary computation	2818
Trelea [21]	The particle swarm optimization algorithm: Convergence analysis and parameter selection	Information processing letters	2145
Robinson and Rahmat-Samii [14]	Particle swarm optimization in electromagnetics	IEEE transactions on antennas and propagation	1847
del Valle et al. [8]	Particle swarm optimization: basic concepts, variants, and applications in power systems	IEEE transactions on evolutionary computation	1726
Wang et al. [10]	Crystal structure prediction via particle-swarm optimization	Physical review B—condensed matter and materials physics	1599
Coello Coello and Lechuga [22]	Mopso: A proposal for multiple objective particle swarm optimization	Proceedings of the 2002 congress on evolutionary computation, CEC 2002	1482
Zhan et al. [23]	Adaptive particle swarm optimization	IEEE transactions on systems, man, and cybernetics, part B: cybernetics	1441
Gaing [12]	Particle swarm optimization to solving the economic dispatch considering the generator constraints	IEEE transactions on power systems	1362
Gaing [13]	A particle swarm optimization approach for optimum design of PID controller in AVR system	IEEE transactions on energy conversion	1347
Sun et al. [24]	Particle swarm optimization with particles having quantum behaviour	Proceedings of the 2004 congress on evolutionary computation, CEC2004	1227
Shi and Eberhart [25]	Fuzzy adaptive particle swarm optimization	Proceedings of the IEEE conference on evolutionary computation, ICEC	1157
Vesterstrøm and Thomsen [15].	A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems	Proceedings of the 2004 congress on evolutionary computation, CEC2004	1086
Van den Bergh and Engelbrecht [7]	A study of particle swarm optimization particle trajectories	Information sciences	1057
Bratton and Kennedy [26]	Defining a standard for particle swarm optimization	Proceedings of the 2007 IEEE swarm intelligence symposium SIS 2007	1049