| dc.description.abstract | In this thesis, a popular swarm-based optimization is proposed to construct
numerous multiple-choice tests from different question banks which can satisfy different
criteria which is called Artificial Bees Colony (ABC) algorithm. This is also a metaheuristic
algorithm which is used frequently in solving single-objective optimization problems. ABC
algorithm allows users to generate many tests having difficulty levels approximate the
predefined difficulty level in one attempt. The experimental results of the research show
that this method has the ability to extract multiple tests at the same time but still satisfies
other criteria such as the difficulty level, extracting time, standard deviation and the
population size which are used to display the effectiveness of the method towards the
problem. | en_US |
