Particle swarm optimization method based on multi-strategy synergistic function
A technology of particle swarm optimization and synergistic effect, which is applied in the direction of instruments, calculation models, biological models, etc., can solve the problems of premature convergence and slow convergence speed, and achieve the effect of improving convergence speed and accuracy
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[0056] The following further describes the present invention with reference to the accompanying drawings and specific embodiments, without limiting its protection scope.
[0057] A particle swarm optimization method based on multi-strategy synergy. The steps of the implementation method are as follows:
[0058] The first step, the initialization of the particle population
[0059] For particle initialization, first randomly initialize the population size to NP particles, including particle position L, velocity V, inertia weight W to control particle change, particle iteration number T, particle dimension D, and particle social learning ability C1 And the self-learning ability of the particle C2; then the total number of evaluations Sum of the particle is:
[0060] Sum=NP*T(1)
[0061] Each particle has a dimension, and the position of each particle is represented by a vector with 1 row and D column. In the initialization of the particle population, different dimensions will affect t...
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