Abstract
Inspired by animal behavior, Eberhart and Kennedy [49, 22] proposed in 1995 an optimization method called Particle Swarm Optimization (PSO). In this approach, a swarm of particles simultaneously explore a problem’s search space with the goal of finding the global optimum configuration.
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Chopard, B., Tomassini, M. (2018). Particle Swarm Optimization. In: An Introduction to Metaheuristics for Optimization. Natural Computing Series. Springer, Cham. https://doi.org/10.1007/978-3-319-93073-2_6
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DOI: https://doi.org/10.1007/978-3-319-93073-2_6
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