Research on hybrid particle swarm optimization algorithm

A hybrid particle swarm optimization algorithm combing advantages of Particle Swarm Optimization(PSO) algorithm with quasi-Newton method is proposed.The algorithm runs the PSO firstly.The best point of contemporary is used as the initial point of quasi-Newton method when PSO evolutes to a certain extent.Then the algorithm is further optimized using quasi-Newton method.The hybrid algorithm has displayed sufficiently the characteristics of PSO's group search and quasi-Newton method's local strong search.At the same time,it overcomes the disadvantages of high sensitivity to initial point of quasi-Newton method and PSO reducing the search efficiency in later period.Numerical results show that the algorithm has a high convergence speed and solution precision.