Outputs (42)

Users’ experiences of enhancing underwater images: An empirical study (2021)
Journal Article

Within the worldwide diving community, underwater photography is becoming increasingly popular. However, the marine environment presents certain challenges for image capture, with resulting imagery often suffering from colour distortions, low contras... Read More about Users’ experiences of enhancing underwater images: An empirical study.

Using active learning to understand the videoconference experience: A case study (2020)
Presentation / Conference Contribution

Videoconferencing is becoming ubiquitous, especially so during the COVID-19 pandemic. However, user experience of a videoconference call can be variable. To better understand and classify the performance of videoconference call systems, this paper re... Read More about Using active learning to understand the videoconference experience: A case study.

Looking for Novelty In SBSE Problems (2019)
Presentation / Conference Contribution

Search-based software engineering (SBSE) was conceived to support engineers searching for innovative ideas to solve recurrent software engineering problems along the software project lifecycle. However, current approaches require the engineer to form... Read More about Looking for Novelty In SBSE Problems.

A metaheuristic search framework to derive Cancer Care Services from business process models (2019)
Presentation / Conference Contribution

Cancer Care involves not only handling patients' medical or physical needs but also other services to facilitate patient needs which are underpinned by appropriate software systems that assist in patient care processes. The Service-Oriented Architect... Read More about A metaheuristic search framework to derive Cancer Care Services from business process models.

Beneficial role of humans and AI in a machine learning age of the Telco ecosystem (2018)
Presentation / Conference Contribution

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 Contribution

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)
Presentation / Conference Contribution

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.

Evolutionary computing frameworks for optimisation (2017)
Journal Article

Evolutionary algorithms can find optimal solutions to problems. This article gives an overview of some programming frameworks available to solve optimisation problems.

Metaheuristic design patterns - new perspectives for larger-scale search architectures (2017)
Book Chapter

Design patterns capture the essentials of recurring best practice in an abstract form. Their merits are
well established in domains as diverse as architecture and software development. They offer significant
benefits, not least a common conceptual... Read More about Metaheuristic design patterns - new perspectives for larger-scale search architectures.

Evolutionary computing frameworks for optimisation (2017)
Presentation / Conference Contribution

Presentation on frameworks for optimisation using evolutionary computing.