Outputs (10732)

On the Utility of Probing Trajectories for Algorithm-Selection (2024)
Conference Proceeding
Renau, Q., & Hart, E. (2024). On the Utility of Probing Trajectories for Algorithm-Selection. In Applications of Evolutionary Computation. EvoApplications 2024 (98-114). https://doi.org/10.1007/978-3-031-56852-7_7

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)
Conference Proceeding
Urquhart, N., & Hunter, K. (2024). Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language. In S. Smith, J. Correia, & C. Cintrano (Eds.), Applications of Evolutionary Computation (83–97). https://doi.org/10.1007/978-3-031-56852-7_6

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.

Generalized Early Stopping in Evolutionary Direct Policy Search (2024)
Journal Article
Arza, E., Le Goff, L. K., & Hart, E. (in press). Generalized Early Stopping in Evolutionary Direct Policy Search. ACM Transactions on Evolutionary Learning and Optimization, https://doi.org/10.1145/3653024

Lengthy evaluation times are common in many optimization problems such as direct policy search tasks, especially when they involve conducting evaluations in the physical world, e.g. in robotics applications. Often when evaluating solution over a fixe... Read More about Generalized Early Stopping in Evolutionary Direct Policy Search.

Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks (2024)
Journal Article
Bhatti, D. S., Saleem, S., Ali, Z., Park, T., Suh, B., Kamran, A., …Kim, K. (2024). Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks. IEEE Access, 12, 41499-41516. https://doi.org/10.1109/access.2024.3377144

Wireless Sensor Networks (WSN) are deployed on a large scale and require protection from malicious energy drainage attacks, particularly those directed at the routing layer. The complexity increases during critical operations like cluster head select... Read More about Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks.

Novel Aperture Antenna Array Design for Indoor Localisation UWB Radar Technologies (2024)
Conference Proceeding
Ahmed, I., Aldelemy, A., Ismail, A. S., See, C. H., Ghareeb, M. F., Nafea,, S., …Abd-Alhameed, R. A. (in press). Novel Aperture Antenna Array Design for Indoor Localisation UWB Radar Technologies.

A Novel RFID Tag's Antenna for Mounting on Metallic Objects (2024)
Conference Proceeding
Gharbia, I., Aldelemy, A., Elmegri, F., Ismail, . A. S., Darwish, M., See, C. H., & Abd-Alhameed, R. A. (in press). A Novel RFID Tag's Antenna for Mounting on Metallic Objects.

Gain-Enhanced/End-Fire Phased Array Antenna for Future Cellular Networks (2024)
Conference Proceeding
Basherlou, H. J., Ojaroudi Parchin, N., Manjakkal, L., See, C. H., Amar, A., & Salama, A. (in press). Gain-Enhanced/End-Fire Phased Array Antenna for Future Cellular Networks.

MIMO Smartphone Antenna with CPW-Fed Stepped Resonators for sub 6 GHz Cellular Networks (2024)
Conference Proceeding
Basherlou, H. J., Ojaroudi Parchin, N., manjakkal, L., See, C. H., Amar, A. S. I., & Eldamak, A. R. (in press). MIMO Smartphone Antenna with CPW-Fed Stepped Resonators for sub 6 GHz Cellular Networks.

Cluster-based oversampling with area extraction from representative points for class imbalance learning (2024)
Journal Article
Farou, Z., Wang, Y., & Horváth, T. (2024). Cluster-based oversampling with area extraction from representative points for class imbalance learning. Intelligent Systems with Applications, 22, Article 200357. https://doi.org/10.1016/j.iswa.2024.200357

Class imbalance learning is challenging in various domains where training datasets exhibit disproportionate samples in a specific class. Resampling methods have been used to adjust the class distribution, but they often have limitations for small dis... Read More about Cluster-based oversampling with area extraction from representative points for class imbalance learning.

Information flow and Laplacian dynamics on local optima networks (2024)
Conference Proceeding
Richter, H., & Thomson, S. L. (in press). Information flow and Laplacian dynamics on local optima networks.

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.