An improved FSOA based on stochastic search

摘要

In order to overcome the shortcoming of being trapped in local minima in basic FSOA(an optimization approach on using fishing strategy), an improving FSOA is presented based on stochastic search. The improving algorithm makes use of the stochastic searh approach and do not adopt the strategy of constricting search. It shows, from the experimental simulation results of some typical benchmark optimization problems and some typical restricted functions optimization problems, that the proposed optimization algorithm not only has great advantages of convergence property over basic FSOA, PSO and GA, but also can effectively avoid being trapped in local minima.