General Optimization Methods Mathematical Programming, Constraint Programming, Heuristics Problem Specific Algorithms (Dynamic Programming, Branch and Bound) Scheduling Single and Parallel Machine Models Flow Shops and Flexible Flow Shops Job Shops Resource-Constrained Project Scheduling Timetabling Interval Scheduling, Reservations Educational Timetabling Workforce and Employee Timetabling Tra...

Producing good quality examination timetables is a difficult task which is faced by many academic institutions. Due to the complexity and the large size of the realworld university examination timetabling problems, it is difficult to obtain an optimal solution. Indeed, due to the complex nature of the problem, it is questionable if an end user would recognise a truly optimal solution. Carter an...

This paper considers a solution to the school timetabling problem. The timetabling problem involves scheduling a number of tuples, each consisting of class of students, a teacher, a subject and a room, to a fixed number of time slots. A Monte Carlo scheme called simulated annealing is used as an optimisation technique. The paper introduces the timetabling problem, and then describes the simulat...

Automated timetabling is a research domain that has occupied many researchers over the last 50 years. Several algorithms have proven to be applicable to timetabling but they are nearly all designed to address specific problems. The framework presented in this paper is a step towards a generic semi-automatic timetabling tool. The basis of the framework is an ontology for timetabling that we desi...

This paper discusses a series of recombination operators for the timetabling problem. These operators act upon a direct representation of the timetable and maintain the property of feasibility. That is that there are no conflicts and no overfilled rooms. Various approaches to solving the timetabling problem using evolutionary computing methods are first compared. The recombination operators are...

Scheduling is one the problems on which so many researches have been done over years and university course timetabling problem which is a NP-hard problem is a type of scheduling problem. On the other hand, timetabling process must be done for each semester frequently which is an exhausting and time consuming task. University course timetabling problem performs the allocation of whole events to ...

The university course timetabling problem is a difficult optimisation problem due to its highly-constrained nature. Finding an optimal, or even a high quality, timetable is a challenging task, especially when resources (e.g., rooms and time slots) are limited. In the literature, many approaches have been studied to solve this problem. In this thesis, we investigate genetic algorithms to solve t...

The process of gathering enough experimental statistical data over a set of instances of the Course timetabling problem (CTTP) could take a lot of time to an interested researcher. There exist several parallel computing models capable to accelerating the execution process of metaheuristic algorithms. This paper explores the idea to use a parallel model in a metaheuristic algorithm over the Cour...