Abstract:In order to overcome the demerits of Fruit Fly Optimization Algorithm(FOA), such as long running time and easily relapsing into local optimum, which are caused by improper parameters setting, this paper mainly researches how the main parameters of FOA influence the following aspects:running time, optimization performance and convergence velocity. Taking six standard testing functions optimization as an example, we make the simulation experiments of FOA under the different parameters. Firstly, qualitative conclusions of influence of important parameters on FOA's performance are drawn by comparative analysis and study. And then the reasonable value ranges of the parameters are given in order to get a better balance between FOA's performance and its running time. Experimental results show that reasonable parameters settings not only shorten FOA's running time, but also speed up its convergence velocity and improve its optimization precision.