AIJan 21, 2014

Harmony Search Algorithm for Curriculum-Based Course Timetabling Problem

arXiv:1401.5156v18 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental approach for educational scheduling, addressing a specific domain problem with limited impact.

The paper applied a harmony search algorithm to the curriculum-based course timetabling problem, but the results were not better than existing best solutions, suggesting modifications are needed for improvement.

In this paper, harmony search algorithm is applied to curriculum-based course timetabling. The implementation, specifically the process of improvisation consists of memory consideration, random consideration and pitch adjustment. In memory consideration, the value of the course number for new solution was selected from all other course number located in the same column of the Harmony Memory. This research used the highest occurrence of the course number to be scheduled in a new harmony. The remaining courses that have not been scheduled by memory consideration will go through random consideration, i.e. will select any feasible location available to be scheduled in the new harmony solution. Each course scheduled out of memory consideration is examined as to whether it should be pitch adjusted with probability of eight procedures. However, the algorithm produced results that were not comparatively better than those previously known as best solution. With proper modification in terms of the approach in this algorithm would make the algorithm perform better on curriculum-based course timetabling.

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