DIBNN: A Dual-Improved-BNN Based Algorithm for Multi-Robot Cooperative Area Search in Complex Obstacle Environments
Journal Article
Chen, B., Zhang, H., Zhang, F., Jiang, Y., Miao, Z., Yu, H., & Wang, Y. (in press)
DIBNN: A Dual-Improved-BNN Based Algorithm for Multi-Robot Cooperative Area Search in Complex Obstacle Environments. IEEE Transactions on Automation Science and Engineering, https://doi.org/10.1109/tase.2024.3379166
Aiming at the area search task of a multi-robot system in an unknown complex obstacle environment, we propose a cooperative area search algorithm based on a dual improved bio-...
Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language
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 ...
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective
Conference Proceeding
Rodriguez, C. J., Thomson, S. L., Alderliesten, T., & Bosman, P. A. N. (in press)
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective. . https://doi.org/10.1145/3638529.3654125
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 suc...
Understanding fitness landscapes in morpho-evolution via local optima networks
Conference Proceeding
Thomson, S. L., Le Goff, L., Hart, E., & Buchanan, E. (in press)
Understanding fitness landscapes in morpho-evolution via local optima networks. . https://doi.org/10.1145/3638529.3654059
Morpho-Evolution (ME) refers to the simultaneous optimisation of a robot's design and controller to maximise performance given a task and environment. Many genetic encodings h...
Generalized Early Stopping in Evolutionary Direct Policy Search
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...
Friends or enemies? Unraveling niche-regime interactions in grassroots digital innovations
Journal Article
Gerli, P., Mora, L., Zhang, J., & Sancino, A. (2024)
Friends or enemies? Unraveling niche-regime interactions in grassroots digital innovations. Technological Forecasting and Social Change, 202, Article 123342. https://doi.org/10.1016/j.techfore.2024.123342
During the COVID-19 pandemic, grassroots digital innovations (GDIs) have gained traction as innovation niches, providing an alternative to the prevailing mainstream regime dom...
Police custody in rural Scotland: Negotiating boundaries, risk and organisational change
Journal Article
Wooff, A. (in press)
Police custody in rural Scotland: Negotiating boundaries, risk and organisational change. Policing: An International Journal of Police Strategies and Management, https://doi.org/10.1108/pijpsm-01-2024-0007
Design/ Methodology
This paper draws on data from a study funded by the Scottish Institute for Policing Research (2016-2018), entitled ‘Measuring Risk and Efficiency in Polic...
The problem with shaming people for Auschwitz selfies
Digital Artefact
Wight, C., & Stanley, P. (2024)
The problem with shaming people for Auschwitz selfies. [Online newspaper]
Selfies have become the modern day equivalent of postcards, a way to share our travel experiences with family and friends on social media. It’s one thing to strike a goofy pos...
RAISE Student Belonging Good Practice Guide: Unpacking the Guide
Presentation / Conference
Garden, C. (2024, March)
RAISE Student Belonging Good Practice Guide: Unpacking the Guide
RAISE Webinar
Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks
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. T...