Operational research in education
J Johnes - European journal of operational research, 2015 - Elsevier
Operational Research (OR) techniques have been applied, from the early stages of the
discipline, to a wide variety of issues in education. At the government level, these include …
discipline, to a wide variety of issues in education. At the government level, these include …
A review of hyper-heuristics for educational timetabling
N Pillay - Annals of Operations Research, 2016 - Springer
Educational timetabling problems, namely, university examination timetabling, university
course timetabling and school timetabling, are combinatorial optimization problems …
course timetabling and school timetabling, are combinatorial optimization problems …
Siberian tiger optimization: A new bio-inspired metaheuristic algorithm for solving engineering optimization problems
P Trojovský, M Dehghani, P Hanuš - Ieee Access, 2022 - ieeexplore.ieee.org
In this article, a new metaheuristic algorithm called Siberian Tiger Optimization (STO) is
designed to deal with optimization applications. The fundamental inspiration of STO is the …
designed to deal with optimization applications. The fundamental inspiration of STO is the …
A survey of school timetabling research
N Pillay - Annals of Operations Research, 2014 - Springer
Although there has been a fair amount of research in the area of school timetabling, this
domain has not developed as well as other fields of educational timetabling such as …
domain has not developed as well as other fields of educational timetabling such as …
A reinforcement learning: great-deluge hyper-heuristic for examination timetabling
Hyper-heuristics can be identified as methodologies that search the space generated by a
finite set of low level heuristics for solving search problems. An iterative hyper-heuristic …
finite set of low level heuristics for solving search problems. An iterative hyper-heuristic …
A unified framework of graph-based evolutionary multitasking hyper-heuristic
X Hao, R Qu, J Liu - IEEE Transactions on Evolutionary …, 2020 - ieeexplore.ieee.org
In recent research, hyper-heuristics have attracted increasing attention in various fields. The
most appealing feature of hyper-heuristics is that they aim to provide more generalized …
most appealing feature of hyper-heuristics is that they aim to provide more generalized …
A graph coloring constructive hyper-heuristic for examination timetabling problems
In this work we investigate a new graph coloring constructive hyper-heuristic for solving
examination timetabling problems. We utilize the hierarchical hybridizations of four low level …
examination timetabling problems. We utilize the hierarchical hybridizations of four low level …
Grammatical evolution hyper-heuristic for combinatorial optimization problems
Designing generic problem solvers that perform well across a diverse set of problems is a
challenging task. In this work, we propose a hyper-heuristic framework to automatically …
challenging task. In this work, we propose a hyper-heuristic framework to automatically …
Decomposition-based hyperheuristic approaches for the bi-objective cold chain considering environmental effects
L Leng, J Zhang, C Zhang, Y Zhao, W Wang… - Computers & Operations …, 2020 - Elsevier
This paper proposed a novel approach for a practical version of the cold chain, namely
location-routing problem-based low-carbon cold chain (LRPLCCC). In the proposed bi …
location-routing problem-based low-carbon cold chain (LRPLCCC). In the proposed bi …