Modified Harmony Search
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...
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IOP Publishing
2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/20039/ http://umpir.ump.edu.my/id/eprint/20039/ http://umpir.ump.edu.my/id/eprint/20039/1/Modified-harmony-search_2017_Journal-of-Physics-Conference-Series.pdf |
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eprints |
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ump-200392018-06-05T03:48:12Z http://umpir.ump.edu.my/id/eprint/20039/ Modified Harmony Search Najihah, Mohamed Ahmad Lutfi, Amri Ramli Ahmad, Abd Majid Abd Rahni, Mt Piah QA Mathematics 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. IOP Publishing 2017 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/20039/1/Modified-harmony-search_2017_Journal-of-Physics-Conference-Series.pdf 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) https://doi.org/10.1088/1742-6596/890/1/012097 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
QA Mathematics |
| spellingShingle |
QA Mathematics Najihah, Mohamed Ahmad Lutfi, Amri Ramli Ahmad, Abd Majid Abd Rahni, Mt Piah Modified Harmony Search |
| description |
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. |
| format |
Conference or Workshop Item |
| author |
Najihah, Mohamed Ahmad Lutfi, Amri Ramli Ahmad, Abd Majid Abd Rahni, Mt Piah |
| author_facet |
Najihah, Mohamed Ahmad Lutfi, Amri Ramli Ahmad, Abd Majid Abd Rahni, Mt Piah |
| author_sort |
Najihah, Mohamed |
| title |
Modified Harmony Search |
| title_short |
Modified Harmony Search |
| title_full |
Modified Harmony Search |
| title_fullStr |
Modified Harmony Search |
| title_full_unstemmed |
Modified Harmony Search |
| title_sort |
modified harmony search |
| publisher |
IOP Publishing |
| publishDate |
2017 |
| url |
http://umpir.ump.edu.my/id/eprint/20039/ http://umpir.ump.edu.my/id/eprint/20039/ http://umpir.ump.edu.my/id/eprint/20039/1/Modified-harmony-search_2017_Journal-of-Physics-Conference-Series.pdf |
| first_indexed |
2023-09-18T22:28:42Z |
| last_indexed |
2023-09-18T22:28:42Z |
| _version_ |
1777416140270600192 |