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Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection

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..

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Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Hyperdize, Tuning, Metahuristic algorithms, Harmony search Algorithm, stochastic search methods, mathematical functions minimization
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Rosfadilla Mohamad Zainun
Date Deposited: 13 Dec 2016 02:16
Last Modified: 18 Oct 2018 04:57
URI: http://umpir.ump.edu.my/id/eprint/15757
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