基于鸽群算法的 Fuch 混沌蝗虫算法.

Aiming at the defects that the GOA is easy to fall into the local optimal solution and the convergence speed is slow, this paper proposed a Fuch chaotic grasshopper algorithm based on pigeon swarm algorithm( PFGOA). Firstly, this paper introduced the Fuch chaotic map to generate initialized population. And then it embedded the sine-cosine operator into the updating formula of the position. At the same time, it introduced pigeon search operator to the optimization process, and through changing the inertia weight c to improve and balance the ability of exploration and development of the algorithm. Finally, it introduced the nonlinear inertia weight to the optimal individual to increase the global search ability of the algorithm, and jumped out of local optimization. Through the simulation test of 11 test functions and Wilcoxon rank sum test, the experimental simulation results show that the PFGOA has better performance, high er precision and better significance . [ABSTRACT FROM AUTHOR]