dc.contributor.author |
Sovis, A |
|
dc.contributor.author |
Patikirige, C |
|
dc.contributor.author |
Pandigama, Y |
|
dc.contributor.editor |
Piyatilake, ITS |
|
dc.contributor.editor |
Thalagala, PD |
|
dc.contributor.editor |
Ganegoda, GU |
|
dc.contributor.editor |
Thanuja, ALARR |
|
dc.contributor.editor |
Dharmarathna, P |
|
dc.date.accessioned |
2024-02-05T08:44:21Z |
|
dc.date.available |
2024-02-05T08:44:21Z |
|
dc.date.issued |
2023-12-07 |
|
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/22159 |
|
dc.description.abstract |
Timetable scheduling is a complicated, expensive
and resource-intensive Optimization Problem. This project aims
to suggest a solution to this problem using multiple strategies.
The core strategy is to use Artificial Intelligence and Machine
Learning to optimize a timetable. The result is optimized further
by reapplying this optimization mechanism iteratively without
aiming to build a perfect result in a single iteration. The project
uses the concepts of High-Performance Computing and Cluster
Computing to provide flexibility and efficiency on a hardware
level. These form the basis of Project Almanac: a robust and
flexible timetable optimization architecture. Project Almanac
aims to generate a ‘good enough’ timetable by adjusting the
expenses according to the end-user requirements. Alternatively,
the solution also intends to offer a faster, cheaper and more
flexible hardware-software architecture to generate optimized
timetables for diverse applications. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. |
en_US |
dc.subject |
Artificial intelligence |
en_US |
dc.subject |
Cluster computing |
en_US |
dc.subject |
High- performance computing |
en_US |
dc.subject |
Machine learning |
en_US |
dc.subject |
Optimization problem |
en_US |
dc.title |
Enhanced timetable scheduling: a high-performance computational approach |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
IT |
en_US |
dc.identifier.department |
Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. |
en_US |
dc.identifier.year |
2023 |
en_US |
dc.identifier.conference |
8th International Conference in Information Technology Research 2023 |
en_US |
dc.identifier.place |
Moratuwa, Sri Lanka |
en_US |
dc.identifier.pgnos |
pp. 1-6 |
en_US |
dc.identifier.proceeding |
Proceedings of the 8th International Conference in Information Technology Research 2023 |
en_US |
dc.identifier.email |
akashsovis@gmail.com |
en_US |
dc.identifier.email |
chathunipatikirige@gmail.com |
en_US |
dc.identifier.email |
pandig911@gmail.com |
en_US |