An Automatic Examination Timetable System Using Selection and Crossover Technique

Nnamdi Johnson Ezeora, Uzo Izuchukwu Uchenna, Gregory E. Anichebe, Mathew Daniel E, Ihedioha Uchechi. M, Obinna C Onyedeke and Uka Emmanuel Uche
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Nnamdi Johnson Ezeora: Department of Computer Science University of Kairouan, Tunisia
Uzo Izuchukwu Uchenna: Department of Computer Science University of Kairouan, Tunisia
Gregory E. Anichebe: Department of Computer Science University of Kairouan, Tunisia
Mathew Daniel E: Department of Computer Science University of Kairouan, Tunisia
Ihedioha Uchechi. M: Department of Computer Science University of Kairouan, Tunisia
Obinna C Onyedeke: Department of Computer Science University of Kairouan, Tunisia
Uka Emmanuel Uche: Department of Computer Science, University of Nigeria, Nsukka

International Journal of Research and Innovation in Applied Science, 2020, vol. 5, issue 8, 157-164

Abstract: With the increase in the number of student population, new programs being attached, an automated time-tabling system is required to cater for this increase. Most of the time-tabling problems belong to the class of (Non Polynomial) NP-hard problems, as no deterministic polynomial algorithm exists. Timetable definition is the total schedule of specific lectures attended by a group of students in an institution and the lecturers at a specific time. When solving the timetabling problem, we are usually looking for some solution, which will be the best among others. The space of all feasible solutions which is the series of desired solutions with some more desirable than the others is called search space (also state space). Each point in the search space represents one feasible solution which can be "marked" by its value or fitness for the problem. The solution is usually one point in the search space. This research centers on the utilization of computerized system concerning electronic planning and exam booking control arrangement in tertiary Institutions. The work conquers the manual arrangement of activities with respects to the issues timing and planning. The work was effectively evolved utilizing python structure, SQLite Database. Client experience was utilized, an easy to use programming language, and the bundle was tried and enhanced to yield a mechanized Time table plan booking control framework

Date: 2020
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