| dc.creator |
Mushi, Allen R. |
|
| dc.date |
2016-03-16T15:06:39Z |
|
| dc.date |
2016-03-16T15:06:39Z |
|
| dc.date |
2011 |
|
| dc.date.accessioned |
2018-03-27T08:57:47Z |
|
| dc.date.available |
2018-03-27T08:57:47Z |
|
| dc.identifier |
Mushi, A.R., 2011. Two phase heuristic algorithm for the university course timetabling problem: the case of University of Dar Es Salaam. Tanzania Journal of Science, 37(1). |
|
| dc.identifier |
0856 1761 |
|
| dc.identifier |
http://hdl.handle.net/123456789/1036 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/4121 |
|
| dc.description |
University course timetabling is the problem of scheduling resources such as lecturers, courses,
and rooms to a number of timeslots over a planning horizon, normally a week, while satisfying a
number of problem-specific constraints. Since timetabling problems differ from one institution to
another, this paper investigated the case of the University of Dar Es salaam, based on the
combination of Simulated Annealing (SA), and steepest descent in a two-phase approach.
Solutions have been generated which greatly outperform the manually generated ones.
Furthermore, the method compares well with previous work on Tabu Search but with faster
execution time and higher quality on rooms allocation. It is concluded that the approach gives
good results given a careful selection of paramete |
|
| dc.language |
en |
|
| dc.publisher |
Tanzania Journal of Science |
|
| dc.subject |
Timetabling Problem |
|
| dc.subject |
Simulated Annealing |
|
| dc.subject |
Combinatorial Optimization, |
|
| dc.subject |
Steepest Descent |
|
| dc.title |
Two Phase Heuristic Algorithm for the University Course Timetabling Problem |
|
| dc.type |
Journal Article |
|