Najihah, Mohamed and Ahmad Lutfi, Amri Ramli and Ahmad, Abd Majid and Abd Rahni, Mt Piah (2017) Modified Harmony Search. In: Journal of Physics: Conference Series, 1st International Conference on Applied & Industrial Mathematics and Statistics 2017 (ICoAIMS 2017) , 8-10 August 2017 , Kuantan, Pahang, Malaysia. pp. 1-7., 890 (012097). ISSN 1742-6588 (print); 1742-6596 (online)
|
PDF
Modified-harmony-search_2017_Journal-of-Physics-Conference-Series.pdf Available under License Creative Commons Attribution. Download (237kB) | Preview |
Abstract
A metaheuristic algorithm, called Harmony Search is quite highly applied in optimizing parameters in many areas. HS is a derivative-free real parameter optimization algorithm, and draws an inspiration from the musical improvisation process of searching for a perfect state of harmony. Propose in this paper Modified Harmony Search for solving optimization problems, which employs a concept from genetic algorithm method and particle swarm optimization for generating new solution vectors that enhances the performance of HS algorithm. The performances of MHS and HS are investigated on ten benchmark optimization problems in order to make a comparison to reflect the efficiency of the MHS in terms of final accuracy, convergence speed and robustness.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | Convergence speed; Derivative-free; Meta heuristic algorithm; Modified harmony searches |
| Subjects: | Q Science > QA Mathematics |
| Faculty/Division: | Faculty of Industrial Sciences And Technology |
| Depositing User: | Dr Najihah Mohamed |
| Date Deposited: | 05 Jun 2018 03:48 |
| Last Modified: | 05 Jun 2018 03:48 |
| URI: | http://umpir.ump.edu.my/id/eprint/20039 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |