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Welcome to Edinburgh Napier Research Repository

The ‘Research Repository’ is the open access institutional repository of Edinburgh Napier University. It contains examples of research outputs produced by staff and research students, as well as related information about the university's funded projects and staff research interests.

Whenever possible, refereed documents accepted for publication, or finished artistic compositions presented in public, will be made available here in full digital format, and hyperlinks to standard published versions will be provided. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Repository Team at repository@napier.ac.uk



Latest Additions

A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare
Presentation / Conference Contribution
Brownlee, A. E., Thomson, S. L., & Oladapo, R. (2024, July). A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. Paper presented at The Genetic and Evolutionary Computation Conference (GECCO), Melbourne, Australi

We report on a case study application of metaheuristics with Argyll and Bute Health and Social Care Partnership in the West of Scotland. The Partnership maintains a fleet of pool vehicles that are available to service visits of staff to locations acr... Read More about A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare.

Explaining evolutionary feature selection via local optima networks (2024)
Presentation / Conference Contribution
Adair, J., Thomson, S. L., & Brownlee, A. E. (2024, July). Explaining evolutionary feature selection via local optima networks. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We analyse fitness landscapes of evolutionary feature selection to obtain information about feature importance in supervised machine learning. Local optima networks (LONs) are a compact representation of a landscape, and can potentially be adapted fo... Read More about Explaining evolutionary feature selection via local optima networks.

Effect of Particle Size on the Thermal Conductivity of Organic Phase Change Materials with Expanded Graphite (2024)
Journal Article
Jesus D'Oliveira, E., Azimov, U., Costa Pereira, C., & Lafdi, K. (in press). Effect of Particle Size on the Thermal Conductivity of Organic Phase Change Materials with Expanded Graphite. Journal of Energy Storage,

Numerous studies have been conducted to enhance the thermal conductivity of phase change materials (PCMs) using various techniques. Among them, adding high-conductive particles, such as expanded graphite (EG). Nevertheless, in the published literatur... Read More about Effect of Particle Size on the Thermal Conductivity of Organic Phase Change Materials with Expanded Graphite.

Short-Term Licensing in Scotland: A policy murder is announced
Presentation / Conference Contribution
Anastasiadou, C., & McMillan, J. (2024, May). Short-Term Licensing in Scotland: A policy murder is announced. Paper presented at INVTUR 2024, Aveiro, Portugal

Objectives | The purpose of this paper is to examine the evolution of short-term licensing in Scotland, with particular focus on the city of Edinburgh using the lifecycle approach. The case of Edinburgh’s short-term let licensing scheme (CEC, undated... Read More about Short-Term Licensing in Scotland: A policy murder is announced.

Two-Level Dynamic Programming-Enabled Non-Metric Data Aggregation Technique for the Internet of Things (2024)
Journal Article
Jan, S. R., Ghaleb, B., Tariq, U. U., Ali, H., Sabrina, F., & Liu, L. (2024). Two-Level Dynamic Programming-Enabled Non-Metric Data Aggregation Technique for the Internet of Things. Electronics, 13(9), Article 1651. https://doi.org/10.3390/electronics1309

The Internet of Things (IoT) has become a transformative technological infrastructure, serving as a benchmark for automating and standardizing various activities across different domains to reduce human effort, especially in hazardous environments. I... Read More about Two-Level Dynamic Programming-Enabled Non-Metric Data Aggregation Technique for the Internet of Things.