萤火虫粒子群混合算法  

The Algorithm Mixed with Firefly Algorithm and Particle Swarm Optimization

作　　者：杨小东[1] 蔡泽凡[1] Yang Xiaodong;Cai Zefan(Department Electronic and Information Engineering of Shunde Polytechnic,Foshan Guangdong,52830)

机构地区：[1]顺德职业技术学院电子与信息工程学院,广东佛山528300

出　　处：《电子测试》2018年第15期33-36,共4页Electronic Test

摘　　要：本文把萤火虫算法和粒子群优化算法进行混合,在两种算法平行进化的基础上引入共享机制,使两种算法优势互补。仿真证明,混合算法提升了算法的全局搜索能力和收敛速度,适应性更强,可以应用于复杂的优化问题。In this paper, the firefly algorithm and the particle swarm optimization algorithm are mixed, and the sharing mechanism is introduced on the basis of the parallel evolution of the two algorithms, so that the advantages of the two algorithms are complementary. Simulation results show that the hybrid algorithm＇s global search ability and convergence speed are better. It is more adaptable and can be applied to complex optimization problems.

关 键 词：萤火虫算法 粒子群优化算法 混合算法 混沌 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]