Harmony search hyper-heuristic with different pitch adjustment operator for scheduling problems / Khairul Anwar ... [et al.]

Anwar, Khairul and A.Awadallah, Mohammed and Al-Betar, Mohammed Azmi (2021) Harmony search hyper-heuristic with different pitch adjustment operator for scheduling problems / Khairul Anwar ... [et al.]. In: e-Proceedings of the 5th International Conference on Computing, Mathematics and Statistics (iCMS 2021), 4-5 August 2021. (Submitted)

Abstract

The Harmony Search Algorithm (HSA) has been adapted in the hyper-heuristics framework as the high-level heuristic named Harmony Search-based Hyper Heuristic (HSHH). Two operators in HSA are used to select and generate a heuristics vector. In this paper the pitch adjustment operator was
used in order to enhance the original HSHH. The purpose of applying the pitch adjustment operator was to insert a different way of heuristic selection instead of randomness in memory consideration operator. The effectiveness of the proposed methods was tested with two distinct timetabling and rostering problems. Experimentally, the new HSHH method had improved the original HSHH.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Anwar, Khairul
khair274@uitm.edu.my
A.Awadallah, Mohammed
ma.awadallah@alaqsa.edu.ps
Al-Betar, Mohammed Azmi
mohbetar@bau.edu.jo
Subjects: Q Science > Q Science (General)
Q Science > Q Science (General) > Machine learning
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Event Title: e-Proceedings of the 5th International Conference on Computing, Mathematics and Statistics (iCMS 2021)
Event Dates: 4-5 August 2021
Page Range: pp. 299-306
Keywords: Hyperheuristic, harmony search, scheduling, timetabling
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/56225
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