Description: Classical particle swarm algorithm, optimized for many times, demonstrates plotting objective function to be optimized: N of the number of particles: N inertia weight weight: w learning factor: c1, c2 maximum number of iterations: M dimension independent variables: D objective function is to take the minimum value: xm minimum value of the objective function: fv
To Search:
File list (Check if you may need any files):
PSO.m
Download