In order to improve optimization performance of fly fruit optimization algorithm（ FOA）

put forward an assemblage of subsection optimization of a hybrid fly fruit optimization algorithm（ hybrid FOA

HFOA）

which introduces steady particle swarm optimization（ PSO） algorithm into FOA parameters optimization of individual flying distance and smell concentration judgement value

meanwhile

the hybrid method adopts ITAE as fitness function and is applied to a class of unstable systems in PID control. Matlab simulation verification show that HFOA algorithm has fast convergence

good stability and high precision

and it verifies that application of HFOA in PID control parameter optimization are feasible and effective.