[HTML][HTML] Recent advances in selection hyper-heuristics

JH Drake, A Kheiri, E Özcan, EK Burke - European Journal of Operational …, 2020 - Elsevier
Hyper-heuristics have emerged as a way to raise the level of generality of search techniques
for computational search problems. This is in contrast to many approaches, which represent …

Practices in timetabling in higher education institutions: a systematic review

RA Oude Vrielink, EA Jansen, EW Hans… - Annals of operations …, 2019 - Springer
The study of differences between timetabling research presented in conferences like PATAT
or published in Annals of OR and commercial timetabling software used in Higher Education …

Usage of machine learning for strategic decision making at higher educational institutions

Y Nieto, V Gacía-Díaz, C Montenegro… - Ieee …, 2019 - ieeexplore.ieee.org
Decisions made at the strategic level of Higher Educational Institutions (HEIs) affect policies,
strategies, and actions that the institutions make as a whole. Decision's structures at HEIs …

Supporting academic decision making at higher educational institutions using machine learning-based algorithms

Y Nieto, V García-Díaz, C Montenegro, RG Crespo - Soft Computing, 2019 - Springer
Decisions made by deans and university managers greatly impact the entire academic
community as well as society as a whole. In this paper, we present survey results on which …

An assignment problem and its application in education domain: A review and potential path

S Faudzi, S Abdul-Rahman… - Advances in Operations …, 2018 - Wiley Online Library
This paper presents a review pertaining to assignment problem within the education
domain, besides looking into the applications of the present research trend, developments …

Modeling and solving the problem of scheduling university exams in terms of new constraints on the conflicts of professors' exams and the concurrence of exams with …

S Bazari, A Pooya, O Soleimani Fard, P Roozkhosh - Opsearch, 2023 - Springer
The problem of scheduling final exams is a type of educational planning in which the goal is
to find a suitable schedule for the exams of an educational institution in a way that makes …

An ACO-based hyper-heuristic for sequencing many-objective evolutionary algorithms that consider different ways to incorporate the DM's preferences

G Rivera, L Cruz-Reyes, E Fernandez… - Swarm and Evolutionary …, 2023 - Elsevier
Many-objective optimization is an area of interest common to researchers, professionals,
and practitioners because of its real-world implications. Preference incorporation into Multi …

A Survey of solution methodologies for exam timetabling problems

ESK Siew, SL Goh, G Kendall, NR Sabar… - IEEE …, 2024 - ieeexplore.ieee.org
Exam timetabling is a prominent topic in academic administration management as it ensures
the effective utilization of resources and satisfies the requirements and preferences of …

Automated course timetabling optimization using tabu-variable neighborhood search based hyper-heuristic algorithm

A Muklason, RG Irianti, A Marom - Procedia Computer Science, 2019 - Elsevier
Course timetabling problems are challenging, laborious and repetitive work in the
universities. However, in many universities this repetitive works was still carried out …

A -hill climbing optimizer for examination timetabling problem

MA Al-Betar - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Examination timetable is a non-trivial task for administrators of the academic institutions
repeated every semester. In terms of optimization, examination timetabling is a …