Outputs (91)

A heuristic algorithm based on multiassignment procedures for nurse scheduling (2014)
Journal Article
Constantino, A. A., Landa-Silva, D., de Melo, E. L., de Mendonza, C. F. X., Rizzato, D. B., & Romao, W. (2014). A heuristic algorithm based on multiassignment procedures for nurse scheduling. Annals of Operations Research, 218(1), https://doi.org/10.1007/s10479-013-1357-9

This paper tackles a Nurse Scheduling Problem which consists of generating work schedules for a set of nurses while considering their shift preferences and other requirements. The objective is to maximize the satisfaction of nurses? preferences and m... Read More about A heuristic algorithm based on multiassignment procedures for nurse scheduling.

Adaptive selection of heuristics for improving exam timetables (2014)
Journal Article
Burke, E., Qu, R., & Soghier, A. (2014). Adaptive selection of heuristics for improving exam timetables. Annals of Operations Research, 218(1), https://doi.org/10.1007/s10479-012-1140-3

This paper presents a hyper-heuristic approach which hybridises low-level heuristic moves to improve timetables. Exams which cause a soft-constraint violation in the timetable are ordered and rescheduled to produce a better timetable. It is observed... Read More about Adaptive selection of heuristics for improving exam timetables.

A constructive approach to examination timetabling based on adaptive decomposition and ordering (2014)
Journal Article
Abdul-Rahman, S., Burke, E., Bargiela, A., McCollum, B., & Özcan, E. (2014). A constructive approach to examination timetabling based on adaptive decomposition and ordering. Annals of Operations Research, 218(1), https://doi.org/10.1007/s10479-011-0999-8

In this study, we investigate an adaptive decomposition and ordering strategy that automatically divides examinations into difficult and easy sets for constructing an examination timetable. The examinations in the difficult set are considered to be h... Read More about A constructive approach to examination timetabling based on adaptive decomposition and ordering.

You’ll never walk alone: designing a location-based soundtrack (2014)
Presentation / Conference Contribution
Hazzard, A., Benford, S., & Burnett, G. (2014). You’ll never walk alone: designing a location-based soundtrack.

Musical soundtracks have great potential to enhance mobile walking experiences such as tours and guides, much as they already do for films and games. They also raise new challenges for composers as the music must fit a given landscape and respond to... Read More about You’ll never walk alone: designing a location-based soundtrack.

A stochastic local search algorithm with adaptive acceptance for high-school timetabling (2014)
Journal Article
Kheiri, A., Özcan, E., & Parkes, A. J. (2016). A stochastic local search algorithm with adaptive acceptance for high-school timetabling. Annals of Operations Research, 239(1), 135-151. https://doi.org/10.1007/s10479-014-1660-0

Automating high school timetabling is a challenging task. This problem is a well known hard computational problem which has been of interest to practitioners as well as researchers. High schools need to timetable their regular activities once per yea... Read More about A stochastic local search algorithm with adaptive acceptance for high-school timetabling.

A logic for reasoning about knowledge of unawareness (2014)
Journal Article
Agotnes, T., & Alechina, N. (2014). A logic for reasoning about knowledge of unawareness. Journal of Logic, Language and Information, 23(2), https://doi.org/10.1007/s10849-014-9201-4

In the most popular logics combining knowledge and awareness, it is not possible to express statements about knowledge of unawareness such as “Ann knows that Bill is aware of something Ann is not aware of” – without using a stronger statement such as... Read More about A logic for reasoning about knowledge of unawareness.

Supporting team coordination on the ground: requirements from a mixed reality game (2014)
Presentation / Conference Contribution
Fischer, J. E., Jiang, W., Kerne, A., Greenhalgh, C., Ramchurn, S. D., Reece, S., …Rodden, T. (2014). Supporting team coordination on the ground: requirements from a mixed reality game.

We generate requirements for time-critical distributed team support relevant for domains such as disaster response. We present the Radiation Response Game to investigate socio-technical issues regarding team coordination. Field responders in this mix... Read More about Supporting team coordination on the ground: requirements from a mixed reality game.

A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems (2014)
Journal Article
Sabar, N. R., Ayob, M., Kendall, G., & Qu, R. (2015). A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems. IEEE Transactions on Cybernetics, 45(2), 217-228. https://doi.org/10.1109/TCYB.2014.2323936

Hyper-heuristics are search methodologies that aim to provide high-quality solutions across a wide variety of problem domains, rather than developing tailor-made methodologies for each problem instance/domain. A traditional hyper-heuristic framework... Read More about A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems.

Smart grids, smart users? The role of the user in demand side management (2014)
Journal Article
Goulden, M., Bedwell, B., RODDEN, T., Rennick-Egglestone, S., & Spence, A. (2014). Smart grids, smart users? The role of the user in demand side management. Energy Research and Social Science, 2, 21-29. https://doi.org/10.1016/j.erss.2014.04.008

Smart grids are a key feature of future energy scenarios, with the overarching goal of better aligning energy generation and demand. The work presented here considers the role of the user in such systems, and the contexts in which such roles might em... Read More about Smart grids, smart users? The role of the user in demand side management.

Online learning and fusion of orientation appearance models for robust rigid object tracking (2014)
Journal Article
Marras, I., Tzimiropoulos, G., Zafeiriou, S., & Pantic, M. (2014). Online learning and fusion of orientation appearance models for robust rigid object tracking. Image and Vision Computing, 32(10), 707-727. https://doi.org/10.1016/j.imavis.2014.04.017

We introduce a robust framework for learning and fusing of orientation appearance models based on both texture and depth information for rigid object tracking. Our framework fuses data obtained from a standard visual camera and dense depth maps obtai... Read More about Online learning and fusion of orientation appearance models for robust rigid object tracking.