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A exam-arrangement model with multi-constraints and optimization goal was constructed and an improved ant colony algorithm was proposed to solve the exam-arrangement optimization problem; To improve the self-adaptability of the algorithm, heuristic method was improved and pheromone updating strategy was modified by adjusting the pheromone residual according to the progress of the algorithm convergence,accordingly,...
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...
Most academic institutions face the problem of scheduling both courses and examinations in every year. As the difficulty of the problem increases, due to a large number of students, courses, exams, rooms and invigilator constraints, an automated resource allocation system that can produce feasible and high quality timetables is often required. To provide a good university planning, a fast and efficient...
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