Reinforced island model genetic algorithm to solve university course timetabling

Alfian Akbar Gozali, Shigeru Fujimura

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The University Course Timetabling Problem (UCTP) is a scheduling problem of assigning teaching event in certain time and room by considering the constraints of university stakeholders such as students, lecturers, departments, etc. This problem becomes complicated for universities which have immense number of students and lecturers. Therefore, a scalable and reliable timetabling solver is needed. However, current solvers and generic solution failed to meet several specific UCTP. Moreover, some universities implement student sectioning problem with individual student specific constraints. This research introduces the Reinforced Asynchronous Island Model Genetic Algorithm (RIMGA) to optimize the resource usage of the computer. RIMGA will configure the slave that has completed its process to helping other machines that have yet to complete theirs. This research shows that RIMGA not only improves time performance in the computational execution process, it also offers greater opportunity to escape the local optimum trap than previous model.

Original languageEnglish
Pages (from-to)2747-2755
Number of pages9
JournalTelkomnika (Telecommunication Computing Electronics and Control)
Volume16
Issue number6
DOIs
Publication statusPublished - 2018 Dec 1

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Keywords

  • Genetic algorithm
  • Island model
  • University course timetabling problem

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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