A Novel Global Harmony Search Algorithm for Nonnegative Linear Least Squares

摘要

Nonnegative Linear Least Squares (NLLS) is an important optimization problems, which often appears in processing the physical data. In this paper, we use a recently proposed algorithm named Novel Global Harmony Search (NGHS) for solving NLLS problems. Numerical results are reported which demonstrate very good computational performance.