An improving simulating fishing algorithm

The emphasis of this paper lies in an improving simolating fishing algorithm being presented after analyzing the shortcoming of the optimization algorithm on simulating fisherman´ fishing (SFOA). This optimization algorithm is that every fisherman makes use of multipoint random searching method, that fisher takes detecting approach according to his state, that only the fisherman which is in the present optimum position that takes contracting-search strategy and the others use moving-search method. It indicates, from numerical optimization experimental results, that this algorithm has the performance of rapid convergence rate, high accurate numerical solution and good stability.