To solve the problem that the particle swarm optimization has slow convergence rate and easy to trap into local optimum

we brought forward a method based on dynamic disturbance term and changed the speed formula that the particle can jump out local optimum.Introducing the tabu search algorithm in later period

we make full use of search memory and good hill-climbing ability that can quickly search the global optimal solution.Simulation experiments show that the Tabu Particle Swarm Optimization Al...