Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …

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

Artificial bee colony (ABC) algorithm is one of the most recent swarm intelligence-based
algorithms simulate the foraging behavior of honey bees in their hive. ABC starts with a …

This paper is concerned with the application of an automated hybrid approach in addressing
the university timetabling problem. The approach described is based on the nature-inspired …

The timetabling problems is the most prominent problem in combinatorial optimization.
University Examination Timetabling Problem (UETP) is considered as one of the common …

Generating timetables for an institution is a challenging and time consuming task due to
different demands on the overall structure of the timetable. In this paper, a new hybrid …

Smart Education is the influence of diverse technologies (Combinatorial Optimization,
Machine Learning, Big Data, data visualisation, Internet of Education Things, Learning …

The artificial bee colony (ABC) is a population-based metaheuristic that mimics the foraging
behaviour of honeybees in order to produce high-quality solutions for optimisation problems …

University timetabling problems are a yearly challenging task and are faced repeatedly each
semester. The problems are considered nonpolynomial time (NP) and combinatorial …

Examination timetabling is a discrete, multi-objective and combinatorial optimization
problem which tends to be solved with a cooperation of stochastic search approaches such …