Title :
Heuristic Factors in Ant System Algorithm for Course Timetabling Problem
Author :
Djamarus, Djasli ; Ku-Mahamud, Ku Ruhana
Author_Institution :
Inf. Dept., Trisakti Univ., Jakarta, Indonesia
fDate :
Nov. 30 2009-Dec. 2 2009
Abstract :
This paper presents an algorithm that is based on ant system to solve the course timetabling problem. The problem is modeled using the bipartite graph. Four heuristic factors are derived from the graph characteristic, are used to direct ants as the agent in finding course timetable elements. The concept of negative pheromone was also applied to ensure that paths leading to dead ends are not chosen. The performance of this proposed algorithm is promising when comparison of performance was made with the original ant system algorithm.
Keywords :
educational institutions; optimisation; search problems; ant system algorithm; bipartite graph; course timetabling problem; heuristic factors; negative pheromone concept; Ant colony optimization; Approximation algorithms; Art; Bipartite graph; Educational institutions; Informatics; Intelligent systems; Polynomials; Programming profession; Writing; Ant System Algorithm; Course Timetabling Problem; Heuristic; Pheromone;
Conference_Titel :
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4735-0
Electronic_ISBN :
978-0-7695-3872-3
DOI :
10.1109/ISDA.2009.62