Ayse Aslan
ayse aslan

Dr Ayse Aslan

Research Fellow

Date


5 results

An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning

Journal Article
Wouda, N. A., Aslan, A., & Vis, I. F. (2023)
An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning. Computers and Operations Research, 151, Article 106089. https://doi.org/10.1016/j.cor.2022.106089
Personalised learning offers an alternative method to one-size-fits-all education in schools, and has seen increasing adoption over the past several years. Personalised learni...

A Precedence Constrained Knapsack Problem with Uncertain Item Weights for Personalized Learning Systems

Journal Article
Aslan, A., Ursavas, E., & Romeijnders, W. (2023)
A Precedence Constrained Knapsack Problem with Uncertain Item Weights for Personalized Learning Systems. Omega, 115, Article 102779. https://doi.org/10.1016/j.omega.2022.102779
This paper studies a unique precedence constrained knapsack problem in which there are two methods available to place an item in the knapsack. Whether or not an item weight is...

Lead time prediction with the Bosch production line dataset

Dataset
Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. Lead time prediction with the Bosch production line dataset. [Dataset]

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Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. Lead time prediction with the Bosch production line dataset. [Dataset]

Optimal admission and routing with congestion-sensitive customer classes

Journal Article
Aslan, A. (2022)
Optimal admission and routing with congestion-sensitive customer classes. Probability in the Engineering and Informational Sciences, 36(3), 774-798. https://doi.org/10.1017/s0269964821000073
This paper considers optimal admission and routing control in multi-class service systems in which customers can either receive quality regular service which is subject to con...

A dynamic thompson sampling hyper-heuristic framework for learning activity planning in personalized learning

Journal Article
Aslan, A., Bakir, I., & Vis, I. F. (2020)
A dynamic thompson sampling hyper-heuristic framework for learning activity planning in personalized learning. European Journal of Operational Research, 286(2), 673-688. https://doi.org/10.1016/j.ejor.2020.03.038
Personalized learning is emerging in schools as an alternative to one-size-fits-all education. This study introduces and explores a weekly demand-driven flexible learning acti...