Abayomi-Alli A.1, Misra S.2,3, Fernández-Sanz L.4, Abayomi-Alli O.2,*, Edun A. R.1
Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 385-396, 2020, DOI:10.32604/iasc.2020.013915
Abstract University timetable scheduling is a complicated constraint problem because
educational institutions use timetables to maximize and optimize scarce
resources, such as time and space. In this paper, an examination timetable
system using Genetic Algorithm and Tabu Search memory with course
sandwiching (GAT_CS), was developed for a large public University. The concept
of Genetic Algorithm with Selection and Evaluation was implemented while the
memory properties of Tabu Search and course sandwiching replaced Crossover
and Mutation. The result showed that GAT_CS had hall allocation accuracies of
96.07% and 99.02%, unallocated score of 3.93% and 0.98% for first More >
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