Harmony search based on worst-best strategy for sparse nonnegative linear least squares

被引：0

作者：

机构：

[1] Pang, Hui

[2] Yong, Longquan

[3] Zhang, Guanghua

来源：

| 1600年 / ICIC Express Letters Office, Tokai University, Kumamoto Campus, 9-1-1, Toroku, Kumamoto, 862-8652, Japan卷 / 07期

关键词：

Computational performance - Harmony search - Improved harmony searches - Linear least squares - Linear least squares problems - Numerical results - Optimization problems - Scientific and engineering applications;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Sparse nonnegative linear least squares (SNLLS) is an important optimization problem, which often appears in scientific and engineering applications. In this paper, we proposed an improved harmony search based on worst-best strategy (HSWB) for solving sparse nonnegative linear least squares problem. Numerical results are reported which demonstrate very good computational performance. © 2013 ICIC International.

引用