This paper presents an Adaptive Tabu Search algorithm (denoted by ATS) for solving a
problem of curriculum-based course timetabling. The proposed algorithm follows a general …

The university course timetabling problem (UCTP) arises every academic year and must be
solved by academic staff with/without a course timetabling tool. A Hybrid Self-adaptive …

This paper proposes a novel competition-guided multi-neighborhood local search (CMLS)
algorithm for solving the curriculum-based course timetabling problem. In comparison with …

This paper describes the development of a novel metaheuristic that combines an
electromagnetic-like mechanism (EM) and the great deluge algorithm (GD) for the University …

Academic institutions may be edging towards a global uncertainty, recession, and a string of
financial difficulties. An effective course timetabling is one of managerial strategies to …

Timetabling is a problem faced in all higher education institutions. The International
Timetabling Competition (ITC) has published a dataset that can be used to test the quality of …

The course timetabling problem deals with the assignment of a set of courses to specific
timeslots and rooms within a working week subject to a variety of hard and soft constraints …

Constructing university course timetable is a very difficult task where a set of events has to
be scheduled in timeslots and located in suitable rooms. The objective of course timetabling …

This work investigates the genetic algorithm with guided strategies and a self-adaptive
mechanism to solve the university course timetabling problem. The available rooms and …

In this paper we have presented a combination of two meta-heuristics, namely great deluge
and tabu search, for solving the university course timetabling problem. This problem occurs …