An improved harmony search algorithm for linear least squares

作者：Yong Longquan^*; Liu Sanyang; Zhang Jianke; Feng Quanxi

来源：Journal of Computational Information Systems, 2012, 8(10): 4217-4224.

• Derivative information
• Harmony search
• Harmony search algorithms
• HS algorithm
• Linear least squares
• Linear least squares problems
• Metaheuristic
• Music players
• Numerical results
• Optimization problems
• Stochastic random search

Recently, a meta-heuristic called harmony search (HS) algorithm has emerged. HS was conceptualized using an analogy with music improvisation process where music players improvise the pitches of their instruments to obtain better harmony. The HS algorithm, which does not require derivative information and uses stochastic random search, has been successful in several optimization problems. In addition, the HS algorithm is simple in concept, few in parameters, and easy in implementation. This work presents an improved HS (IHS) approach with standard normal distributions to optimize linear least squares problem. Numerical results show that the IHS method has good convergence.

• 出版日期2012
• 单位桂林理工大学; 西安电子科技大学