Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection
This paper present a successful method to tune the parameters of the harmony search algorithm, which is a well-known meta-heuristic algorithm. Choosing the values of HS parameters consider as a difficulty when we use it in different cases, and we tried to solve this problem by using another meta-heu...
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ump-157572018-10-18T04:57:30Z http://umpir.ump.edu.my/id/eprint/15757/ Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection Alaa A., Al-Omoush Al-Sewari, Abdul Rahman Ahmed Mohammed Ameen, Bahomaid Alamri, Hammoudeh S. Kamal Z., Zamli QA Mathematics QA75 Electronic computers. Computer science This paper present a successful method to tune the parameters of the harmony search algorithm, which is a well-known meta-heuristic algorithm. Choosing the values of HS parameters consider as a difficulty when we use it in different cases, and we tried to solve this problem by using another meta-heuristic algorithm to pick the right value for one of these parameters, which is harmony memory consideration rate. To evaluate the performance of the amended algorithm, we have applied it on different bench-mark functions that shows its good performance, in terms of result accuracy in contrast with the original algorithm Harmony Search with less number of iterations, and when we compare it with two other well-known variants of HS. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15757/1/P107%20pg788-791.pdf Alaa A., Al-Omoush and Al-Sewari, Abdul Rahman Ahmed Mohammed and Ameen, Bahomaid and Alamri, Hammoudeh S. and Kamal Z., Zamli (2016) Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016), 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 788-791.. http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip |
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QA Mathematics QA75 Electronic computers. Computer science Alaa A., Al-Omoush Al-Sewari, Abdul Rahman Ahmed Mohammed Ameen, Bahomaid Alamri, Hammoudeh S. Kamal Z., Zamli Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection |
description |
This paper present a successful method to tune the parameters of the harmony search algorithm, which is a well-known meta-heuristic algorithm. Choosing the values of HS parameters consider as a difficulty when we use it in different cases, and we tried to solve this problem by using another meta-heuristic algorithm to pick the right value for one of these parameters, which is harmony memory consideration rate. To evaluate the performance of the amended algorithm, we have applied it on different bench-mark functions that shows its good performance, in terms of result accuracy in contrast with the original algorithm Harmony Search with less number of iterations, and when we compare it with two other well-known variants of HS. |
format |
Conference or Workshop Item |
author |
Alaa A., Al-Omoush Al-Sewari, Abdul Rahman Ahmed Mohammed Ameen, Bahomaid Alamri, Hammoudeh S. Kamal Z., Zamli |
author_facet |
Alaa A., Al-Omoush Al-Sewari, Abdul Rahman Ahmed Mohammed Ameen, Bahomaid Alamri, Hammoudeh S. Kamal Z., Zamli |
author_sort |
Alaa A., Al-Omoush |
title |
Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection |
title_short |
Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection |
title_full |
Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection |
title_fullStr |
Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection |
title_full_unstemmed |
Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection |
title_sort |
hyperdize jaya algorithm for harmony search algorithm's parameters selection |
publisher |
Universiti Malaysia Pahang |
publishDate |
2016 |
url |
http://umpir.ump.edu.my/id/eprint/15757/ http://umpir.ump.edu.my/id/eprint/15757/ http://umpir.ump.edu.my/id/eprint/15757/1/P107%20pg788-791.pdf |
first_indexed |
2023-09-18T22:20:46Z |
last_indexed |
2023-09-18T22:20:46Z |
_version_ |
1777415640884183040 |