Novel Self-adaptive Harmony Search Algorithm for Continuous Optimization Problems
This paper presents a novel harmony search algorithm for solving the global continuous optimization problems.In the proposed algorithm,a new version of improvisation scheme is proposed to generate candidate harmonies,where two control parameters,bandwidth distance (bw)and pitch adjusting rate (PAR),are either self-adaptive or automatically updated with respect to both the evolution of the search process and the useful information taken from the optimization problems with different features.Numerical results show that the proposed algorithm is very competitive in comparison with the compared HS algorithms.
CHEN Jing MAN Hong-Fang Wang Ya-Min
College of Computer Science,Liaocheng University,Liaocheng 252059,P.R.China Liaocheng University Library,Liaocheng 252059,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）