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All Outputs (159)

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective (2024)
Presentation / Conference Contribution
Rodriguez, C. J., Thomson, S. L., Alderliesten, T., & Bosman, P. A. N. (2024, July). Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective. Presented at Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Australia

Many real-world problems have expensive-to-compute fitness functions and are multi-objective in nature. Surrogate-assisted evolutionary algorithms are often used to tackle such problems. Despite this, literature about analysing the fitness landscapes... Read More about Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective.

Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution (2024)
Presentation / Conference Contribution
Marrero, A., Segredo, E., León, C., & Hart, E. (2024, July). Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. Presented at ACM GECCO 2024, Melbourne, Australia

The ability to generate example instances from a domain is important in order to benchmark algorithms and to generate data that covers an instance-space in order to train machine-learning models for algorithm selection. Quality-Diversity (QD) algorit... Read More about Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution.

PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme (2024)
Presentation / Conference Contribution
Yaqub, Z., Yigit, Y., Maglaras, L., Tan, Z., & Wooderson, P. (2024, April). PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme. Presented at The 20th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2024), Abu Dhabi, UAE

In the rapidly evolving landscape of Intelligent Transportation Systems (ITS), Vehicular Ad-hoc Networks (VANETs) play a critical role in enhancing road safety and traffic flow. However, VANETs face significant security and privacy challenges due to... Read More about PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme.

Wide-Scan/High-Gain Phased Array Antenna for 5G/6G Cellular Networks (2024)
Presentation / Conference Contribution
Basherlou, H. J., Ojaroudi Parchin, N., Alibakhshikenari, M., Kouhalvandi, L., & See, C. H. (2024, June). Wide-Scan/High-Gain Phased Array Antenna for 5G/6G Cellular Networks. Presented at 2024 IEEE 22nd Mediterranean Electrotechnical Conference- IEEE MELECON 2024, Porto, Portugal

A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control (2024)
Presentation / Conference Contribution
Montague, K., Hart, E., & Paechter, B. (2024, April). A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control. Presented at EvoStar 2024, Aberystwyth

Behaviour trees (BTs) are commonly used as controllers in robotic swarms due their modular composition and to the fact that they can be easily interpreted by humans. From an algorithmic perspective, an additional advantage is that extra modules can e... Read More about A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control.

On the Utility of Probing Trajectories for Algorithm-Selection (2024)
Presentation / Conference Contribution
Renau, Q., & Hart, E. (2024, April). On the Utility of Probing Trajectories for Algorithm-Selection. Presented at EvoStar 2024, Aberystwyth, UK

Machine-learning approaches to algorithm-selection typically take data describing an instance as input. Input data can take the form of features derived from the instance description or fitness landscape , or can be a direct representation of the ins... Read More about On the Utility of Probing Trajectories for Algorithm-Selection.

Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language (2024)
Presentation / Conference Contribution
Urquhart, N., & Hunter, K. (2024, April). Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language. Presented at 27th European Conference, EvoApplications 2024, Aberystwyth, UK

When using a meta-heuristic based optimiser in some industrial scenarios, there may be a need to amend the objective function as time progresses to encompass constraints that did not exist during the development phase of the software. We propose a me... Read More about Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language.

Using Frequency B-Splines for an accurate and faster calculation of adaptive transforms for electric machines diagnosis (2024)
Presentation / Conference Contribution
Pons-Llinares, J., Quijano-López, A., Bonet-Jara, J., & Vedreño-Santos, F. (2024, May). Using Frequency B-Splines for an accurate and faster calculation of adaptive transforms for electric machines diagnosis. Presented at Electrimacs 2024, Castellón de la Plana, Spain

Early detection of faults in electric motors is crucial to prevent unplanned downtime and expensive repairs. Transient analysis through time-frequency transforms reveals important information on the motor condition. Computational time of these transf... Read More about Using Frequency B-Splines for an accurate and faster calculation of adaptive transforms for electric machines diagnosis.

Novel Aperture Antenna Array Design for Indoor Localisation UWB Radar Technologies (2024)
Presentation / Conference Contribution
Ahmed, I., Aldelemy, A., Ismail, A. S., See, C. H., Ghareeb, M. F., Nafea,, S., Oda, E., & Abd-Alhameed, R. A. (2024, May). Novel Aperture Antenna Array Design for Indoor Localisation UWB Radar Technologies. Presented at 14th International Conference on Electrical Engineering (ICEENG), Cairo, Egypt

A Novel RFID Tag's Antenna for Mounting on Metallic Objects (2024)
Presentation / Conference Contribution
Gharbia, I., Aldelemy, A., Elmegri, F., Ismail, . A. S., Darwish, M., See, C. H., & Abd-Alhameed, R. A. (2024, May). A Novel RFID Tag's Antenna for Mounting on Metallic Objects. Presented at 14th International Conference on Electrical Engineering (ICEENG), Cairo, Egypt

Gain-Enhanced/End-Fire Phased Array Antenna for Future Cellular Networks (2024)
Presentation / Conference Contribution
Basherlou, H. J., Ojaroudi Parchin, N., Manjakkal, L., See, C. H., Amar, A., & Salama, A. (2024, May). Gain-Enhanced/End-Fire Phased Array Antenna for Future Cellular Networks. Presented at 14th International Conference on Electrical Engineering (ICEENG), Cairo, Egypt

Information flow and Laplacian dynamics on local optima networks (2024)
Presentation / Conference Contribution
Richter, H., & Thomson, S. L. (2024, June). Information flow and Laplacian dynamics on local optima networks. Presented at IEEE Congress on Evolutionary Computation (IEEE CEC), Yokohama, Japan

We propose a new way of looking at local optima networks (LONs). LONs represent fitness landscapes; the nodes are local optima, and the edges are search transitions between them. Many metrics computed on LONs have been proposed and shown to be linked... Read More about Information flow and Laplacian dynamics on local optima networks.

PHASER: Perceptual Hashing Algorithms Evaluation and Results -an Open Source Forensic Framework (2024)
Presentation / Conference Contribution
Mckeown, S., Aaby, P., & Steyven, A. PHASER: Perceptual Hashing Algorithms Evaluation and Results -an Open Source Forensic Framework. Presented at DFRWS EU 2024, Zaragoza, Spain

The automated comparison of visual content is a contemporary solution to scale the detection of illegal media and extremist material, both for detection on individual devices and in the cloud. However, the problem is difficult, and perceptual similar... Read More about PHASER: Perceptual Hashing Algorithms Evaluation and Results -an Open Source Forensic Framework.

A Probability Mapping-Based Privacy Preservation Method for Social Networks (2024)
Presentation / Conference Contribution
Li, Q., Wang, Y., Wang, F., Tan, Z., & Wang, C. (2023, November). A Probability Mapping-Based Privacy Preservation Method for Social Networks. Presented at The 3rd International Conference on Ubiquitous Security 2023 (UbiSec-2023), Exeter

The mining and analysis of social networks can bring significant economic and social benefits. However, it also poses a risk of privacy leakages. Differential privacy is a de facto standard to prevent such leaks, but it suffers from the high sensitiv... Read More about A Probability Mapping-Based Privacy Preservation Method for Social Networks.

Virtual Rehabilitation: XR Design for Senior Users in Immersive Exergame Environments (2024)
Presentation / Conference Contribution
Charisis, V., Khan, S., AlTarteer, S., & Lagoo, R. (2024, June). Virtual Rehabilitation: XR Design for Senior Users in Immersive Exergame Environments. Presented at 2024 IEEE Gaming, Entertainment, and Media Conference (GEM), Turin, Italy

The global ageing population presents significant challenges, with healthcare systems strained to meet the needs of an increasingly elderly demographic. Societies face issues related to healthcare costs, caregiving, and maintaining quality of life fo... Read More about Virtual Rehabilitation: XR Design for Senior Users in Immersive Exergame Environments.

Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection (2024)
Presentation / Conference Contribution
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2023, September). Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection. Presented at The 4th International Workshop on Cyber-Physical Security for Critical Infrastructures Protection (CPS4CIP 2023) - in conjunction with ESORICS 2023, The Hague, Netherlands