Harmony Search Optimization Algorithm Based on Normal Cloud
The pitch adjusting rate (PAR) is an important parameter in harmony search algorithm,which indicates that the algorithm will choose a neighboring value with a probability.The traditional harmony search algorithm uses fixed value for PAR.However,PAR should be increased when all objective values are centralized and decreased when the function values are scattered in the solution space.In this paper,a new cloud harmony search algorithm (CHS) is proposed.We introduce cloud model theory to adjust the value PAR in the harmony search to improve the global search ability and make faster convergence speed of the algorithm.The improved harmony search algorithm is tested on some benchmark functions and the results are compared with the result of the traditional harmony search.Experimental results indicate that the improved harmony search algorithm has a good performance in the global search ability and convergent speed.
cloud model harmony search optimization the pitch ajusting rate (PAR)
Lifu Wang Zhi Kong Xingang Wang
College of Control Engineering,Northeastern University at Qinhuangdao,Qinhuangdao,China
国际会议
郑州
英文
1451-1456
2013-10-19（万方平台首次上网日期，不代表论文的发表时间）