Title :
Ant System Algorithm with Negative Pheromone for Course Scheduling Problem
Author :
Djamarus, Djasli ; Ku-Mahamud, Ku Ruhana
Author_Institution :
Inf. Dept., Trisakti Univ., Jakarta
Abstract :
This paper presents a proposed ant system algorithm that incorporates negative pheromone to solve the course scheduling problem. The performance of the proposed algorithm is tested with a case study data on course scheduling. Comparisons of results were performed with ant system algorithm that does not incorporate the negative pheromone.
Keywords :
educational courses; evolutionary computation; scheduling; ant system algorithm; course scheduling problem; negative pheromone; Ant colony optimization; Art; Educational institutions; Informatics; Intelligent systems; Job production systems; Personnel; Resource management; Scheduling algorithm; Testing; Ant System Algorithm; Course Scheduling Problem; Meta-heuristic; Negative Pheromone;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.154
