萤火虫粒子群混合算法

The Algorithm Mixed with Firefly Algorithm and Particle Swarm Optimization

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.