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Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers (2014)
Journal Article
Havens, T. C., Anderson, D. T., & Wagner, C. (2015). Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers. IEEE Transactions on Fuzzy Systems, 23(5), https://doi.org/10.1109/TFUZZ.2014.2382133

The fuzzy integral (FI) with respect to a fuzzy measure (FM) is a powerful means of aggregating information. The most popular FIs are the Choquet and Sugeno, and most research focuses on these two variants. The arena of the FM is much more populated,... Read More about Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers.

A tensor-based selection hyper-heuristic for cross-domain heuristic search (2014)
Journal Article
Asta, S., & Özcan, E. (2015). A tensor-based selection hyper-heuristic for cross-domain heuristic search. Information Sciences, 299, https://doi.org/10.1016/j.ins.2014.12.020

Hyper-heuristics have emerged as automated high level search methodologies that manage a set of low level heuristics for solving computationally hard problems. A generic selection hyper-heuristic combines heuristic selection and move acceptance metho... Read More about A tensor-based selection hyper-heuristic for cross-domain heuristic search.

An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex (2014)
Presentation / Conference Contribution
Asta, S., & Özcan, E. (2014). An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex. In 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). https://doi.org/10.1109/EALS.2014.7009505

Apprenticeship learning occurs via observations while an expert is in action. A hyper-heuristic is a search method or a learning mechanism that controls a set of low level heuristics or combines different heuristic components to generate heuristics f... Read More about An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex.

Hybridising heuristics within an estimation distribution algorithm for examination timetabling (2014)
Journal Article
Qu, R., Pham, D. N. T., Bai, R., & Kendall, G. (2015). Hybridising heuristics within an estimation distribution algorithm for examination timetabling. Applied Intelligence, 42(4), 679-693. https://doi.org/10.1007/s10489-014-0615-0

This paper presents a hybrid hyper-heuristic approach based on estimation distribution algorithms. The main motivation is to raise the level of generality for search methodologies. The objective of the hyper-heuristic is to produce solutions of accep... Read More about Hybridising heuristics within an estimation distribution algorithm for examination timetabling.

Elicitation of strategies in four variants of a round-robin tournament: the case of Goofspiel (2014)
Journal Article
Dror, M., Kendall, G., & Rapoport, A. (2016). Elicitation of strategies in four variants of a round-robin tournament: the case of Goofspiel. IEEE Transactions on Computational Intelligence and AI in Games, 8(3), https://doi.org/10.1109/TCIAIG.2014.2377250

Goofspiel is a simple two-person zero-sum game for which there exist no known equilibrium strategies. To gain insight into what constitute winning strategies, we conducted a round-robin tournament in which participants were asked to provide computeri... Read More about Elicitation of strategies in four variants of a round-robin tournament: the case of Goofspiel.

On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images (2014)
Journal Article
Mairhofer, S., Sturrock, C., Wells, D. M., Bennett, M. J., Mooney, S. J., & Pridmore, T. P. (2014). On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images. Functional Plant Biology, 42(5), 460-470. https://doi.org/10.1071/FP14071

© CSIRO 2015. X-ray microcomputed tomography (μCT) allows nondestructive visualisation of plant root systems within their soil environment and thus offers an alternative to the commonly used destructive methodologies for the examination of plant root... Read More about On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images.

Doing it for themselves: the practices of amateur musicians and DIY music networks in a digital age (2014)
Presentation / Conference Contribution
Hoare, M., Benford, S., Greenhalgh, C., & Chamberlain, A. (2014). Doing it for themselves: the practices of amateur musicians and DIY music networks in a digital age.

A fast expanding network of DIY music communities in the UK see digital technologies transforming ways in which part-time amateur musicians are able to collabo- rate creatively and form alliances, producing unique per- formance techniques, experiment... Read More about Doing it for themselves: the practices of amateur musicians and DIY music networks in a digital age.

Hybrid Marker-less Camera Pose Tracking with Integrated Sensor Fusion (2014)
Thesis
Moemeni, A. (2014). Hybrid Marker-less Camera Pose Tracking with Integrated Sensor Fusion. (Thesis). Centre for Computational Intelligence (CCI) - De Montfort University. Retrieved from https://nottingham-repository.worktribe.com/output/4780253

This thesis presents a framework for a hybrid model-free marker-less inertial-visual camera pose tracking with an integrated sensor fusion mechanism. The proposed solution addresses the fundamental problem of pose recovery in computer vision and robo... Read More about Hybrid Marker-less Camera Pose Tracking with Integrated Sensor Fusion.

The immersive effect of adaptive architecture (2014)
Journal Article
Schnädelbach, H., Slovák, P., Fitzpatrick, G., & Jäger, N. (2016). The immersive effect of adaptive architecture. Pervasive and Mobile Computing, 25, 143-152. https://doi.org/10.1016/j.pmcj.2014.11.006

© 2014 Elsevier B.V. All rights reserved. This paper explores the role of immersion in the generation of specific interactive effects, within the context of the emerging research field of Adaptive Architecture. Drawing on an existing biofeedback-driv... Read More about The immersive effect of adaptive architecture.

Search with evolutionary ruin and stochastic rebuild: a theoretic framework and a case study on exam timetabling (2014)
Journal Article
Li, J., Bai, R., Shen, Y., & Qu, R. (in press). Search with evolutionary ruin and stochastic rebuild: a theoretic framework and a case study on exam timetabling. European Journal of Operational Research, 242(3), https://doi.org/10.1016/j.ejor.2014.11.002

This paper presents a state transition based formal framework for a new search method, called Evolutionary Ruin and Stochastic Recreate, which tries to learn and adapt to the changing environments during the search process. It improves the performanc... Read More about Search with evolutionary ruin and stochastic rebuild: a theoretic framework and a case study on exam timetabling.