Automated Allocation of Resources for Examination System using Genetic Algorithm
Loganathan R1, Smitha Kurian2
1Dr. Loganathan R, Department of Computer Science and Engineering, HKBK College of Engineering, Affiliated to VTU, Bengaluru, (Karnataka), India.
2Smitha Kuriab, Department of Computer Science and Engineering, HKBK College of Engineering, Affiliated to VTU, Bengaluru, (Karnataka), India.
Manuscript received on November 20, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1052-1055 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3510129219/2020©BEIESP | DOI: 10.35940/ijeat.B3510.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The quality of education is to a major extent assessed through examination and therefore examination is an inseparable and integral part of education. Even though we have seen a lot of technological advancements, the examination process is still carried out the traditional way with most of the process performed manually. As a result of which the current system at times are prone to errors and are time consuming. Various techniques have been proposed to automate the time table generation, automatic paper setting and evaluation. One of the tasks that has not got much attention is the assignment of work on a per day basis to invigilators and their assignment to rooms for invigilation. So we propose a system that integrates task like invigilator allotment, room allotment student allotment and time table generation in an efficient way.
Keywords: Resource allocation, Invigilator allocation, Application of Genetic algorithm, Automation.