An Improving Simulating Fishing Algorithm

摘要：

The emphasis of this paper lies in an improving simoiating 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.

关键词： simulating fishing multipoint random searching improving algorithm

作者: Wang Yong He De-niu Guan Yi-jun

作者单位: College of Mathematics and Computer Science, Guangxi University for Nationalities, Nanning 530006, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 247-250

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）