Outputs (498)

On the comparison of initialisation strategies in differential evolution for large scale optimisation (2017)
Journal Article
Segredo, E., Paechter, B., Segura, C., & González-Vila, C. I. (2018). On the comparison of initialisation strategies in differential evolution for large scale optimisation. Optimization Letters, 12(1), 221-234. https://doi.org/10.1007/s11590-017-1107-z

Differential Evolution (DE) has shown to be a promising global opimisation solver for continuous problems, even for those with a large dimensionality. Different previous works have studied the effects that a population initialisation strategy has on... Read More about On the comparison of initialisation strategies in differential evolution for large scale optimisation.

On Constructing Ensembles for Combinatorial Optimisation (2017)
Journal Article
Hart, E., & Sim, K. (2018). On Constructing Ensembles for Combinatorial Optimisation. Evolutionary Computation, 26(1), 67-87. https://doi.org/10.1162/evco_a_00203

Although the use of ensemble methods in machine-learning is ubiquitous due to their proven ability to outperform their constituent algorithms, ensembles of optimisation algorithms have received relatively little attention. Existing approaches lag beh... Read More about On Constructing Ensembles for Combinatorial Optimisation.

An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics (2017)
Presentation / Conference Contribution
Steyven, A., Hart, E., & Paechter, B. (2017, July). An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics. Presented at Genetic and Evolutionary Computation Conference - GECCO '17

A robotic swarm that is required to operate for long periods in a potentially unknown environment can use both evolution and individual learning methods in order to adapt. However, the role played by the environment in influencing the effectiveness o... Read More about An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics.

The Design and Evaluation of a Modern C++ Library (2016)
Presentation / Conference Contribution
Chalmers, K. (2016, August). The Design and Evaluation of a Modern C++ Library. Presented at Communicating Process Architectures 2016, Copenhagen, Denmark

Although many CSP inspired libraries exist, none yet have targeted modern C++ (C++11 onwards). The work presented has a main objective of providing a new C++ CSP library which adheres to modern C++ design principles and standards. A secondary objecti... Read More about The Design and Evaluation of a Modern C++ Library.

Antipattern comprehension: an empirical evaluation (2016)
Presentation / Conference Contribution
Hou, T., Chapman, P., & Blake, A. (2016, July). Antipattern comprehension: an empirical evaluation. Presented at 9th International Conference on Formal Ontology in Information Systems

Comprehension of justifications is known to be difficult for even experienced ontology engineers, and much more so for other stakeholders. In this paper, we present two methods for displaying justifications using concept diagrams: using multiple conc... Read More about Antipattern comprehension: an empirical evaluation.

Interactive Ray-Traced Area Lighting with Adaptive Polynomial Filtering (2016)
Presentation / Conference Contribution
Iglesias-Guitian, J. A., Moon, B., & Mitchell, K. (2016). Interactive Ray-Traced Area Lighting with Adaptive Polynomial Filtering. In Proceedings of the 13th European Conference on Visual Media Production (CVMP 2016)

Area lighting computation is a key component for synthesizing photo-realistic rendered images, and it simulates plausible soft shadows by considering geometric relationships between area lights and three-dimensional scenes, in some cases even account... Read More about Interactive Ray-Traced Area Lighting with Adaptive Polynomial Filtering.

The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes (2016)
Presentation / Conference Contribution
Bartie, P., Mackaness, W., Gkatzia, D., & Rieser, V. (2016, May). The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes. Presented at 10th International Conference on Language Resources and Evaluation (LREC)

We present a newly crowd-sourced data set of natural language references to objects anchored in complex urban scenes (In short: The REAL Corpus – Referring Expressions Anchored Language). The REAL corpus contains a collection of images of real-world... Read More about The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes.

A Task Orientated Requirements Ontology for Cloud Computing Services (2016)
Presentation / Conference Contribution
Greenwell, R., Liu, X., Chalmers, K., & Pahl, C. (2016, April). A Task Orientated Requirements Ontology for Cloud Computing Services. Presented at Proceedings of the 6th International Conference on Cloud Computing and Services Science

Requirements ontology offers a mechanism to map requirements for cloud computing services to cloud computing resources. Multiple stakeholders can capture and map knowledge in a flexible and efficient manner. The major contribution of the paper is the... Read More about A Task Orientated Requirements Ontology for Cloud Computing Services.

Synthetic Prior Design for Real-Time Face Tracking (2016)
Presentation / Conference Contribution
McDonagh, S., Klaudiny, M., Bradley, D., Beeler, T., Matthews, I., & Mitchell, K. (2016). Synthetic Prior Design for Real-Time Face Tracking. In 2016 Fourth International Conference on 3D Vision (3DV),. https://doi.org/10.1109/3dv.2016.72

Real-time facial performance capture has recently been gaining popularity in virtual film production, driven by advances in machine learning, which allows for fast inference of facial geometry from video streams. These learning-based approaches are s... Read More about Synthetic Prior Design for Real-Time Face Tracking.

Real-time Physics-based Motion Capture with Sparse Sensors (2016)
Presentation / Conference Contribution
Andrews, S., Huerta, I., Komura, T., Sigal, L., & Mitchell, K. (2016, December). Real-time Physics-based Motion Capture with Sparse Sensors. Presented at 13th European Conference on Visual Media Production (CVMP 2016) - CVMP 2016

We propose a framework for real-time tracking of humans using sparse multi-modal sensor sets, including data obtained from optical markers and inertial measurement units. A small number of sensors leaves the performer unencumbered by not requiring de... Read More about Real-time Physics-based Motion Capture with Sparse Sensors.

Hybridisation of Evolutionary Algorithms through hyper-heuristics for global continuous optimisation (2016)
Presentation / Conference Contribution
Segredo, E., Lalla-Ruiz, E., Hart, E., Paechter, B., & Voß, S. (2016, May). Hybridisation of Evolutionary Algorithms through hyper-heuristics for global continuous optimisation. Presented at Learning and Intelligent OptimizatioN Conference LION 10, Ischia Island (Napoli), Italy

Choosing the correct algorithm to solve a problem still remains an issue 40 years after the Algorithm Selection Problem was first posed. Here we propose a hyper-heuristic which can apply one of two meta-heuristics at the current stage of the search.... Read More about Hybridisation of Evolutionary Algorithms through hyper-heuristics for global continuous optimisation.

Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems (2016)
Presentation / Conference Contribution
Segredo, E., Paechter, B., Hart, E., & Gonz´alez-Vila, C. I. (2016, July). Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems. Presented at IEEE World Congress on Computational Intelligence

In order to address the difficult issue of parameter setting within a diversity-based Multi-objective Evolutionary Algorithm (MOEA), we recently proposed a hybrid control scheme based on both Fuzzy Logic Controllers (FLCs) and Hyper-heuristics (HHs).... Read More about Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems.

How to Talk to Strangers: generating medical reports for first time users (2016)
Presentation / Conference Contribution
Gkatzia, D., Rieser, V., & Lemon, O. (2016). How to Talk to Strangers: generating medical reports for first time users. In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ-IEEE.2016.7737739

We propose a novel approach for handling first-time
users in the context of automatic report generation from timeseries
data in the health domain. Handling first-time users is
a common problem for Natural Language Generation (NLG)
and interactive... Read More about How to Talk to Strangers: generating medical reports for first time users.

A Survey of Speculative Execution Strategy in MapReduce (2016)
Presentation / Conference Contribution
Liu, Q., Jin, D., Liu, X., & Linge, N. (2016). A Survey of Speculative Execution Strategy in MapReduce. In A. Liu, H. C. Chao, E. Bertino, & X. Sun (Eds.), Cloud Computing and Security (296-307). https://doi.org/10.1007/978-3-319-48671-0_27

MapReduce is a parallel computing programming model designed to process large-scale data. Therefore, the accuracy and efficiency for computing are needed to be assured and speculative execution is an efficient method for calculation of fault toleranc... Read More about A Survey of Speculative Execution Strategy in MapReduce.

An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework (2016)
Presentation / Conference Contribution
Liu, Q., Lu, M., Liu, X., & Linge, N. (2016). An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework. In Cloud Computing and Security (254-263). https://doi.org/10.1007/978-3-319-48674-1_23

With the increasing of energy demand and electricity price, researchers gain more and more interest among the residential load monitoring. In order to feed back the individual appliance’s energy consumption instead of the whole-house energy consumpti... Read More about An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework.

Pixel history linear models for real-time temporal filtering. (2016)
Journal Article
Iglesias-Guitian, J. A., Moon, B., Koniaris, C., Smolikowski, E., & Mitchell, K. (2016). Pixel history linear models for real-time temporal filtering. Computer Graphics Forum, 35(7), 363-372. https://doi.org/10.1111/cgf.13033

We propose a new real-time temporal filtering and antialiasing (AA) method for rasterization graphics pipelines. Our method is based on Pixel History Linear Models (PHLM), a new concept for modeling the history of pixel shading values over time using... Read More about Pixel history linear models for real-time temporal filtering..

A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets (2016)
Presentation / Conference Contribution
Aldawood, S., Fowley, F., Pahl, C., Taibi, D., & Liu, X. (2016, August). A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets. Presented at 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), Vienna, Austria

With an increasing number of service providers in the cloud market, the competition between these is also increasing. Each provider attempts to attract customers by providing a high quality service with lowest possible cost and at the same time tryin... Read More about A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets.

Measuring perceived clutter in concept diagrams (2016)
Presentation / Conference Contribution
Hou, T., Chapman, P., & Oliver, I. (2016). Measuring perceived clutter in concept diagrams. In 2016 IEEE Symposium on Visual Languages and Human-Centric Computing. https://doi.org/10.1109/vlhcc.2016.7739661

Clutter in a diagram can be broadly defined as how visually complex the diagram is. It may be that different users perceive clutter in different ways, however. Moreover, it has been shown that, for certain types of diagrams and tasks, an increase in... Read More about Measuring perceived clutter in concept diagrams.

MLCut: exploring multi-level cuts in dendrograms for biological data (2016)
Presentation / Conference Contribution
Vogogias, A., Kennedy, J., Archambault, D., Anne Smith, V., & Currant, H. (2016, September). MLCut: exploring multi-level cuts in dendrograms for biological data. Presented at Computer Graphics & Visual Computing (CGVC) 2016

Choosing a single similarity threshold for cutting dendrograms is not sufficient for performing hierarchical clustering analysis of heterogeneous data sets. In addition, alternative automated or semi-automated methods that cut dendrograms in multiple... Read More about MLCut: exploring multi-level cuts in dendrograms for biological data.

Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm (2016)
Presentation / Conference Contribution
Steyven, A., Hart, E., & Paechter, B. (2016, October). Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. Presented at PPSN 2016 14th International Conference on Parallel Problem Solving from Nature

It is well known that in open-ended evolution, the nature of the environment plays in key role in directing evolution. However, in Evolutionary Robotics, it is often unclear exactly how parameterisation of a given environment might influence the emer... Read More about Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm.