一种新的自适应混沌粒子群算法

A New Adaptive Chaos Particle Swarm Algorithm

提出了一种新的自适应混沌粒子群算法。在标准粒子群算法中引入An混沌映射,以特殊的方式,利用An混沌映射来初始化粒子的位置和速度,并且每隔一定的代数就用An混沌扰动部分粒子的位置和速度。数值仿真的结果表明,该算法的收敛性和全局搜索能力得到提高,能有效避免早熟收敛。

The paper suggests introduction of chaos into PSO,chaos is used to initialize the particle swarm's position and velocity,and to disturb positions and velocities of partial particle for every certain iterations.The results of the numerical simulation indicate that the convergence and global searching capacity of the presented algorithm are enhanced,and the algorithm can effectively avoid in local minima.