采用振荡参数策略的粒子群优化算法

提出了一种新的振荡参数策略(OPS),用以提高粒子群优化算法在指定代数后的收敛性能。为了有效控制局部搜索并收敛于全局最优解,OPS在整个搜索过程中通过振荡惯性权重和加速度系数值来交替进行全局搜索和局部挖掘。惯性权重和加速度系数振荡变化既能提高早期的全局搜索能力,又不会早熟收敛,并使粒子最终趋于全局最优。实验仿真显示,对于大多测试函数,OPS优于时变惯性权重、随机惯性权重、时变加速度系数等策略。

Particle swarm optimization with oscillating parameter strategy

A novel oscillating parameter strategy(OPS) is proposed for the particle swarm optimization algorithm to improve its performance after a predefined number of generations.To efficiently control the local search and convergence to the global optimum solution,the OPS method alternates exploration and exploitation many times during the whole optimization course.For implementing the alternative of exploration and exploitation,the inertia weight and acceleration coefficients are oscillated during the search proce...