نتایج جستجو برای: university course timetabling problem ucttp
تعداد نتایج: 1482676 فیلتر نتایج به سال:
[7] G. Lajos. Complete university modular timetabling using constraint logic programming. A constraint-based approach to high-school timetabling problems: A case study. 14 problem diculty is observed. 6 Conclusions We have proposed a constraint satisfaction model for a local high school timetabling problem. The problem we have studied involves an assignment of eight weekly periods to the sectio...
An extension of constraint logic programming that allows for weighted partial satisfaction of soft constraints is described and applied to the development of an automated timetabling system for Purdue University. The soft constraint solver implemented in the proposed solution approach allows constraint propagation for hard constraints together with preference propagation for soft constraints. A...
The university course timetabling problem deals with the assignment of lectures to specific timeslots and rooms. The goal is to satisfy the soft constraints to the largest degree possible while constructing a feasible schedule. In this paper, we present a hybrid approach consisting of three phases. During phase 1, initial solutions are generated using a constructive heuristic. An improvement ap...
The main goal of this paper is to attempt an unbiased comparison of the performance of straightforward implementations of five different metaheuristics on a university course timetabling problem. In particular, the metaheuristics under consideration are Evolutionary Algorithms, Ant Colony Optimization, Iterated Local Search, Simulated Annealing, and Tabu Search. To attempt fairness, the impleme...
University course timetabling problem (UCTP) includes the challenging task of generating an automated timetable for courses under resource limitations. Manual generated timetables might hold some errors and consume a long time to create feasible solutions. Thus, there is need find optimal fast solutions this problem. The difficulty further increased when tackling faculty-related constraints, ac...
Timetabling the courses offered at the Computer Science Department of the University of Munich requires the processing of hard and soft constraints. Hard constraints are conditions that must be satisfied, soft constraints, however, may be violated, but should be satisfied as much as possible. This paper shows how to model our timetabling problem as a partial constraint satisfaction problem and ...
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