IJNDI/
Articles/
2504000026
  • Open Access
  • Survey/Review Study
A Survey of Algorithms, Applications and Trends for Particle Swarm Optimization
  • Jingzhong Fang 1,   
  • Weibo Liu 1, *,   
  • Linwei Chen 2,   
  • Stanislao Lauria 1,   
  • Alina Miron 1,   
  • Xiaohui Liu 1

Received: 18 Oct 2022 | Accepted: 28 Nov 2022 | Published: 27 Mar 2023

Abstract

Particle swarm optimization (PSO) is a popular heuristic method, which is capable of effectively dealing with various optimization problems. A detailed overview of the original PSO and some PSO variant algorithms is presented in this paper. An up-to-date review is provided on the development of PSO variants, which include four types i.e., the adjustment of control parameters, the newly-designed updating strategies, the topological structures, and the hybridization with other optimization algorithms. A general overview of some selected applications (e.g., robotics, energy systems, power systems, and data analytics) of the PSO algorithms is also given. In this paper, some possible future research topics of the PSO algorithms are also introduced.

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DOI
10.53941/ijndi0201002
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Volume 2, Issue 1
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Fang, J.; Liu, W.; Chen, L.; Lauria, S.; Miron, A.; Liu, X. A Survey of Algorithms, Applications and Trends for Particle Swarm Optimization. International Journal of Network Dynamics and Intelligence 2023, 2 (1), 24–50. https://doi.org/10.53941/ijndi0201002.
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