Harmony Search Optimization Algorithm Based on Normal Cloud
Lifu Wang, Zhi Kong, Xingang Wang
Available Online March 2013.
- https://doi.org/10.2991/iccsee.2013.776How to use a DOI?
- cloud model, harmony search, optimization, the pitch ajusting rate (PAR)
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lifu Wang AU - Zhi Kong AU - Xingang Wang PY - 2013/03 DA - 2013/03 TI - Harmony Search Optimization Algorithm Based on Normal Cloud BT - Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 2998 EP - 3001 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.776 DO - https://doi.org/10.2991/iccsee.2013.776 ID - Wang2013/03 ER -