改进的向心加速度粒子群算法

PSO algorithm is a new algorithm proposed by Beheshti and Zahra in recent years based on PSO algorithm and gravitational search algorithm. On the basis of CAPSO algorithm, two parameters, deflection angle and deflection radius, are introduced to control the centripetal motion process of particles, so that the searching time of the algorithm in the centripetal velocity process is minimized, and then the escape speed falling into the local optimal solution is increased. An improved ICAPSO algorithm is obtained. The experimental results of many benchmark functions tested by the algorithm show that the method adjusts the shortcomings of CAPSO algorithm in dealing with high-dimensional and multi-peak problems, and improves the accuracy to a certain extent.