摘要
在分析传统求数值积分和基本人工鱼群算法不足的基础上,提出了一种基于人工鱼群算法的优化分割数值积分算法,该算法不仅能求解通常意义下函数的数值积分,还能计算奇异函数的数值积分。通过算例与传统数值积分方法比较,实验结果表明该算法是可行的和有效的。
After analyzing the disadvantages of traditional numerical integration methods and artificial fish school algorithm, a numerical integration using optimized segmentation based on artificial fish-school algorithm is presented in this paper. The proposed algorithm can compute numerical integration of functions in ordinary sense as well as of singular functions. Comparison has been done with traditional numerical integration methods through examples, the experimental results show that the proposed algorithm is efficient and feasible.
出处
《计算机应用与软件》
CSCD
2009年第11期58-60,87,共4页
Computer Applications and Software
基金
国家民委科学基金项目(05GX06)
广西自然科学基金项目(桂科自0728054)。
关键词
人工鱼群算法
柯西变异
优化分割
数值积分
Artificial fish school algorithm Cauchy mutation Optimized segmentation Numerical integration
