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Volume 12 Issue 9
Sep.  2025

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2025  >  12(9): 1762-1775
K. Bojappa and J. Lee, “Review on particle swarm optimization: application toward autonomous dynamical systems,” IEEE/CAA J. Autom. Sinica, vol. 12, no. 9, pp. 1762–1775, Sept. 2025. doi: 10.1109/JAS.2024.125028
Citation: K. Bojappa and J. Lee, “Review on particle swarm optimization: application toward autonomous dynamical systems,” IEEE/CAA J. Autom. Sinica, vol. 12, no. 9, pp. 1762–1775, Sept. 2025. doi: 10.1109/JAS.2024.125028
shu

Review on Particle Swarm Optimization: Application Toward Autonomous Dynamical Systems

doi: 10.1109/JAS.2024.125028
Funds:  This work was supported in part by the NASA South Carolina Space Grant Consortium (5121383-UG-SC-006)
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    Abstract
  • Complex autonomous dynamical systems require sophisticated optimization methods that encompass environment awareness, path planning, and decision-making. swarm intelligence algorithms, inspired by natural phenomena such as bird flocks and fish schools, have undergone significant advancements over recent decades. This paper provides a comprehensive review of particle swarm optimization (PSO) in the context of autonomous systems. We specifically examine the application of PSO to multi-agent dynamical systems, reviewing how PSO variants are employed to tackle diverse optimization challenges across various platforms, including ground vehicles, autonomous underwater vehicles, and unmanned aerial vehicles. Additionally, we delve into the use of PSO within swarm robotics and multi-agent systems. The paper concludes with an outline of potential future research directions, particularly focusing on the application of PSO to the multi-agent rendezvous problem in autonomous systems.

     

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