Hybrid algorithm of invasive weeds and particle swarm optimization

Aiming at the disadvantages of low optimization accuracy and easy to fall into local optimum of particle swarm optimization algorithm, a hybrid algorithm combining the invasive weed algorithm and particle swarm optimization algorithm is proposed. The main structure of the hybrid algorithm is PSO, and IWO makes the algorithm avoid falling into local optimum. The simulation test is carried out with 11 benchmark test functions, and through comparison with the other two improved PSO algorithms, it is concluded that the hybrid algorithm in this paper is not easy to fall into local optimization and has high optimization accuracy.