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Enhanced timetable scheduling: a high-performance computational approach

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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


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  • ICITR - 2023 [47]
    International Conference on Information Technology Research (ICITR)

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