Hybridizing harmony search with local search based metaheuristic for solving curriculum based university course timetabling / Juliana Wahid

Wahid, Juliana (2017) Hybridizing harmony search with local search based metaheuristic for solving curriculum based university course timetabling / Juliana Wahid. In: The Doctoral Research Abstracts. IGS Biannual Publication, 11 (11). Institute of Graduate Studies, UiTM, Shah Alam.

[img]
Preview
Text
ABS_JULIANA WAHID TDRA VOL 11 IGS 17.pdf

Download (741kB) | Preview

Abstract

Harmony search algorithm (HSA) is a population-based metaheuristic optimization algorithm that imitates the music improvisation process where musicians improvise their instruments’ pitch by searching for a perfect state of harmony. Previous studies have shown that HSA has been successfully adapted for solving combinatorial optimization problems such as university course timetabling problem (UCTP). However, HSA encountered a setback in which the convergence rate and accuracy of the obtained results are reduced because of the solutions in the population are eventually about the same during the final iterations. Thus, this thesis proposed hybrid algorithms between HSA and local search based methods (simulated annealing (SA) and/or great deluge (GD)) to enhance the HSA performance for solving curriculum-based course timetabling (CBCTT) problem which is the variant of UCTP. SA is chosen to be hybridize with HSA for solving CBCTT because in literature, SA was successfully hybridize with HSA to solve other domain of problems. GD is chosen to be hybridize with HSA for solving CBCTT because GD has the related procedure with SA…

Item Type: Book Section
Creators:
CreatorsEmail
Wahid, JulianaUNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Higher Education > Dissertations, Academic. Preparation of theses > Malaysia
Divisions: Institut Pengajian Siswazah (IPSis) : Institute of Graduate Studies (IGS)
Series Name: IGS Biannual Publication
Volume: 11
Number: 11
Item ID: 19762
Uncontrolled Keywords: Abstract; Abstract of thesis; Newsletter; Research information; Doctoral graduates; IPSis; IGS; UiTM;
Last Modified: 07 Jun 2018 07:09
Depositing User: Staf Pendigitalan 5
URI: http://ir.uitm.edu.my/id/eprint/19762

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year