Skip to main content

Research Repository

Advanced Search

All Outputs (1955)

Uncertainty representation of grey numbers and grey sets (2014)
Journal Article
Yang, Y., Liu, S., & John, R. (2014). Uncertainty representation of grey numbers and grey sets. IEEE Transactions on Cybernetics, 44(9), https://doi.org/10.1109/TCYB.2013.2288731

In the literature there is a presumption that a grey set and an interval-valued fuzzy set are equivalent. This presumption ignores the existence of discrete components in a grey number. In this paper new measurements of uncertainties of grey numbers... Read More about Uncertainty representation of grey numbers and grey sets.

Workforce scheduling and routing problems: literature survey and computational study (2014)
Journal Article
Castillo-Salazar, J. A., Landa-Silva, D., & Qu, R. (2016). Workforce scheduling and routing problems: literature survey and computational study. Annals of Operations Research, 239(1), 39-67. https://doi.org/10.1007/s10479-014-1687-2

In the context of workforce scheduling, there are many scenarios in which personnel must carry out tasks at different locations hence requiring some form of transportation. Examples of these type of scenarios include nurses visiting patients at home,... Read More about Workforce scheduling and routing problems: literature survey and computational study.

The A2 gene of alcelaphine herpesvirus-1 is a transcriptional regulator affecting cytotoxicity in virus-infected T cells but is not required for malignant catarrhal fever induction in rabbits (2014)
Journal Article
Parameswaran, N., Haig, D., Dewals, B. G., Giles, T. C., Deppmann, C., Blythe, M., …Emes, R. D. (2014). The A2 gene of alcelaphine herpesvirus-1 is a transcriptional regulator affecting cytotoxicity in virus-infected T cells but is not required for malignant catarrhal fever induction in rabbits. Virus Research, 188, 68-80. https://doi.org/10.1016/j.virusres.2014.04.003

Alcelaphine herpesvirus-1 (AlHV-1) causes malignant catarrhal fever (MCF). The A2 gene of AlHV-1 is a member of the bZIP transcription factor family. We wished to determine whether A2 is a virulence gene or not and whether it is involved in pathogene... Read More about The A2 gene of alcelaphine herpesvirus-1 is a transcriptional regulator affecting cytotoxicity in virus-infected T cells but is not required for malignant catarrhal fever induction in rabbits.

Towards the development of a simulator for investigating the impact of people management practices on retail performance (2014)
Book Chapter
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. (2014). Towards the development of a simulator for investigating the impact of people management practices on retail performance. In S. J. Taylor (Ed.), Agent-based modeling and simulation (97-132). Palgrave Macmillan. https://doi.org/10.1057/9781137453648_7

Often models for understanding the impact of management practices on retail performance are developed under the assumption of stability, equilibrium and linearity, whereas retail operations are considered in reality to be dynamic, non-linear and comp... Read More about Towards the development of a simulator for investigating the impact of people management practices on retail performance.

Programming by Example Using Least General Generalizations (2014)
Conference Proceeding
Raza, M., Gulwani, S., & Milic-Frayling, N. (2014). Programming by Example Using Least General Generalizations. In AAAI'14: Proceedings of the Twenty-Eighth AAAI Conference on Articial Intelligence. , (283-290)

Recent advances in Programming by Example (PBE) have supported new applications to text editing, but existing approaches are limited to simple text strings. In this paper we address transformations in richly formatted documents, using an approach bas... Read More about Programming by Example Using Least General Generalizations.

A fuzzy directional distance measure (2014)
Conference Proceeding
McCulloch, J., Hinde, C., Wagner, C., & Aickelin, U. (2014). A fuzzy directional distance measure.

The measure of distance between two fuzzy sets is a fundamental tool within fuzzy set theory, however, distance measures currently within the literature use a crisp value to represent the distance between fuzzy sets. A real valued distance measure is... Read More about A fuzzy directional distance measure.

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.

SEG-SSC: a framework based on synthetic examples generation for self-labeled semi-supervised classification (2014)
Journal Article
Triguero, I., Garcia, S., & Herrera, F. (2015). SEG-SSC: a framework based on synthetic examples generation for self-labeled semi-supervised classification. IEEE Transactions on Cybernetics, 45(4), https://doi.org/10.1109/TCYB.2014.2332003

Self-labeled techniques are semi-supervised classification methods that address the shortage of labeled examples via a self-learning process based on supervised models. They progressively classify unlabeled data and use them to modify the hypothesis... Read More about SEG-SSC: a framework based on synthetic examples generation for self-labeled semi-supervised classification.

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 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.

A multi-objective hyper-heuristic based on choice function (2014)
Journal Article
Maashi, M., Özcan, E., & Kendall, G. (2014). A multi-objective hyper-heuristic based on choice function. Expert Systems with Applications, 41(9), https://doi.org/10.1016/j.eswa.2013.12.050

Hyper-heuristics are emerging methodologies that perform a search over the space of heuristics in an attempt to solve difficult computational optimization problems. We present a learning selection choice function based hyper-heuristic to solve multi-... Read More about A multi-objective hyper-heuristic based on choice function.

Tuning a multiple classifier system for side effect discovery using genetic algorithms (2014)
Conference Proceeding
Reps, J. M., Aickelin, U., & Garibaldi, J. M. (2014). Tuning a multiple classifier system for side effect discovery using genetic algorithms. In 2014 IEEE Congress on Evolutionary Computation (CEC). https://doi.org/10.1109/CEC.2014.6900328

In previous work, a novel supervised framework implementing a binary classifier was presented that obtained excellent results for side effect discovery. Interestingly, unique side effects were identified when different binary classifiers were used wi... Read More about Tuning a multiple classifier system for side effect discovery using genetic algorithms.

You’ll never walk alone: designing a location-based soundtrack (2014)
Conference Proceeding
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)
Conference Proceeding
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.