Particle Swarm Optimization algorithm
2016-08-23
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Particle swarm optimization, also known as particle swarm optimization (PSO), is an evolutionary computing technology developed by J. Kennedy and R. C. Eberhart in 1995. It comes from the simulation of a simplified social model. Among them, "swarm" comes from particle swarm optimization, which conforms to the five basic principles of swarm intelligence proposed by M. M. millonas in the development and application of artificial life model. "Particle" is a compromise choice, because it is necessary to describe the members of a group as having no mass or volume, as well as its speed and acceleration state.
matlab
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