PSO-BFGS Algorithm of Global Optimum for Optimization Problems
最优化问题全局寻优的PSO-BFGS混合算法

To overcome the problem of premature convergence on Particle Swarm Optimization(PSO) in optimizing multimodal function,this paper proposed a hybrid algorithm of PSO-BFGS,and used a special mutation to make particles escape local minima.Three benchmark functions were selected as the test functions.The experimental results show that the PSO-BFGS algorithm not only can effectively locate the global optimum,but also have a rather high convergence speed.The PSO-BFGS algorithm is a promising approach for solving global optimization problems.