All Outputs (3)

Beneficial role of humans and AI in a machine learning age of the Telco ecosystem (2018)
Presentation / Conference
Cassidy, S., Perrett, J., & Simons, C. (2018, May). Beneficial role of humans and AI in a machine learning age of the Telco ecosystem. Paper presented at TM Forum Digital Transformation World, Nice, France

The adoption of new technology in the telecommunications industry raises challenges, particularly when exploiting advances in artificial intelligence (AI) (e.g. dynamic optimisation and machine learning). Indeed, opinions have been expressed that AI... Read More about Beneficial role of humans and AI in a machine learning age of the Telco ecosystem.

Simply the best: Optimising with an evolutionary computing framework (2018)
Presentation / Conference
Buontempo, F., & Simons, C. (2018, April). Simply the best: Optimising with an evolutionary computing framework. Presented at Annual Conference of Association of C and C++ Users 2018 (ACCU 2018), Bristol, UK

These are the slides of the interactive programming workshop on optimising with an evolutionary computing framework at ACCU 2018. Java Class Library for Evolutionary Computing (JCLEC) is used as the example framework. Example optimisation problems in... Read More about Simply the best: Optimising with an evolutionary computing framework.

A systematic review of interaction in search-based software engineering (2018)
Journal Article
Ramirez, A., Romero, J. R., & Simons, C. (2019). A systematic review of interaction in search-based software engineering. IEEE Transactions on Software Engineering, 45(8), 760-781. https://doi.org/10.1109/TSE.2018.2803055

IEEE Search-Based Software Engineering (SBSE) has been successfully applied to automate a wide range of software development activities. Nevertheless, in those software engineering problems where human evaluation and preference are crucial, such insi... Read More about A systematic review of interaction in search-based software engineering.