计算机应用与软件2012，Vol.29Issue(9)：268-270,277,4.DOI:10.3969/j.issn.1000-386x.2012.09.073
一种新颖的改进自适应和声算法
A NOVEL MODIFIED SELF-ADAPTIVE HARMONY SEARCH ALGORITHM
何宗耀 1郝伟1
作者信息
- 1. 河南城建学院计算机科学与工程系 河南平顶山467000
- 折叠
摘要
Abstract
This paper presents a novel modified adaptive harmony search ( MHS) algorithm for overcoming the shortcoming of self-adaptive harmony search (SHS) in solving multi-model function. First, in the new MHS algorithm a new adaptive candidate harmony vector generation strategy is designed so that a larger area can be searched. Secondly, the new algorithm presents a setting pattern for harmonic regulation rate PAR, in which PAR gradually increases along with the increase of evolutionary generations. It is illustrated by the results of experiment aiming at 5 benchmark test functions that compared with SHS, the most competitive algorithm at present, the MHS performs better in convergence speed and optimisation.关键词
和声算法/自适应/优化Key words
Harmony search/Self-adaptive/Optimisation分类
信息技术与安全科学引用本文复制引用
何宗耀,郝伟..一种新颖的改进自适应和声算法[J].计算机应用与软件,2012,29(9):268-270,277,4.
