Abstract
Particle Swarm Optimization (PSO) is a swarm intelligence based numerical optimization algorithm, introduced in 1995 by James Kennedy, a social psychologist, and Russell Eberhart, an electrical engineer. PSO has been improved in many ways since its inception. This chapter provides an introduction to the basic particle swarm optimization algorithm. For better understanding of the algorithm, a worked-out example has also been given.
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Bansal, J.C. (2019). Particle Swarm Optimization. In: Bansal, J., Singh, P., Pal, N. (eds) Evolutionary and Swarm Intelligence Algorithms. Studies in Computational Intelligence, vol 779. Springer, Cham. https://doi.org/10.1007/978-3-319-91341-4_2
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DOI: https://doi.org/10.1007/978-3-319-91341-4_2
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