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In Python PSO
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Application background Swarm Optimization Particle (PSO) is a kind of optimization method based on the population dynamics, which is derived from the simulation of social behavior. In a society, the individual's behavior will not only be influenced by the individual's past experience and cognition, but also influenced by the whole social behavior. In the search space of each particle in the search space, the search strategy of PSO is similar to that of the traditional genetic algorithm, which is similar to the traditional genetic algorithm, and the PSO is not completely random. Key Technology Step 1, problem formalization. The problem of D parameter optimization is considered as a D dimension of the solution space, and the position and speed of each particle is D dimension vector.
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