The metaheuristic genetic algorithm (GA) is based on the natural selection process that falls
under the umbrella category of evolutionary algorithms (EA). Genetic algorithms are typically …

This paper presents a review pertaining to assignment problem within the education
domain, besides looking into the applications of the present research trend, developments …

Since university timetabling is commonly classified as a combinatorial optimisation problem,
researchers tend to use optimisation approaches to reach the optimal timetable solution …

As a popular global optimization algorithm, artificial bee colony (ABC) has strong search
ability and simple concept. However, ABC has some deficiencies. The exploitation ability of …

The timetabling problem involves the scheduling of a set of entities (eg, lectures, exams,
vehicles, or people) to a set of resources in a limited number of time slots, while satisfying a …

Feature selection methods are used to select a subset of features from data, therefore only
the useful information can be mined from the samples to get better accuracy and improves …

Abstract We propose a Simulated Annealing approach for the Examination Timetabling
problem, in the classical uncapacitated formulation of Carter et al.(1996). Our solver is …

In this paper, a population-based algorithm inspired by the kidney process in the human
body is proposed. In this algorithm the solutions are filtered in a rate that is calculated based …

The main objective of this paper is to investigate the effect of accounting Fintech, Financial
Technology Matching (FTM) and Supply Chain Management (SCM) in Jordanian …

The current study investigates the Intelligent Water Drops (IWD) metaheuristic algorithm to
construct and produce good quality solutions for the university examination timetabling …