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A Decision Support Tool for Multi-Objectives Teaching Assignment Problem
Version 1
: Received: 8 August 2020 / Approved: 9 August 2020 / Online: 9 August 2020 (22:05:13 CEST)
Version 2 : Received: 29 August 2020 / Approved: 31 August 2020 / Online: 31 August 2020 (07:57:53 CEST)
Version 2 : Received: 29 August 2020 / Approved: 31 August 2020 / Online: 31 August 2020 (07:57:53 CEST)
How to cite: Ngo, T.S.; Bui, N.A.; Jafreezal, J. A Decision Support Tool for Multi-Objectives Teaching Assignment Problem. Preprints 2020, 2020080226 Ngo, T.S.; Bui, N.A.; Jafreezal, J. A Decision Support Tool for Multi-Objectives Teaching Assignment Problem. Preprints 2020, 2020080226
Abstract
The problem of scheduling is an area that has attracted a lot of attention from researchers for many years. Its goal is to optimize resources in the system. The assigning task to the lecturer is an example of the timetabling problem, a class of scheduling. This study introduces a mathematical model to assign fixed tasks (the time and required skills to be fixed) to university lecturers. Our model is capable of generating a calendar that maximizes faculty expectations. The formulated problem is in the form of a multi-objective problem that optimal makes decisions require the trade-off presence of trade-offs between two or more conflicting objectives. To solve this, we use the Compromise Programming approach to multi-objective programming. We then proposed the new version of the Genetic Algorithm to solve the introduced model. Finally, the model and algorithm tested with real scheduling data collected at the Computing Fundamental Department, FPT University, Hanoi, Vietnam.
Keywords
Timetabling; Task Assignment; MOP; Combinatory Optimization; Compromise Programming; Genetic Algorithm
Subject
Social Sciences, Education
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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