一种改进的混合粒子群优化算法

针对粒子群优化算法容易陷入局部极值点、进化后期收敛速度慢、精度较差等缺点,把Hooke-Jeeves模式搜索方法作为粒子群优化算法的一个局部搜索算子,嵌入到粒子群算法中,Hooke-Jeeves的强局部搜索能力提高了粒子群优化算法的局部收敛速度和精度,从而提出了一种混合粒子群优化算法。通过基准函数和实例测试进行了验证,结果表明,提出的混合算法的收敛速度和精度均优于粒子群优化算法。

Improved Hybrid Particle Swarm Optimization Algorithm

To overcome the disadvantage of particle swarm optimization algorithm（PSO） a hybrid particle swarm optimization algorithm（HPSO） is proposed,in which the Hooke-Jeeves pattern search is combined with PSO to speed up the local search and optimizing precision.The experimental results through testing by functions and practical problems show that the hybrid algorithm is superior to original particle swarm optimization algorithm in convergence rate and optimizing precision.