改进的混合粒子群算法

Improved Hybrid Particle Swarm

根据近代数学的随机优化原理,针对基本粒子群算法前期精度低,易发散,后期收敛速度较慢,易陷入局部最优的局限性,通过引入高斯算子和交叉算子,提出了改进的混合粒子群求解算法,改进的算法具有更高的精度和全局收敛性。

An improved algorithm is presented based on the stochastic analysis theory. The particle swarm optimization algorithm with prior low precision, divergent character, slow late convergence and trapping in local optimum is improved by joining the random variable satisfied Gaussian distribution and intersection operation to individual extremum. The new method is valid by example.