Outputs (4)

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.

Machine learning with Python (2017)
Presentation / Conference Contribution

This presentation is a case study taken from the travel and holiday industry. Paxport/Multicom, based in UK and Sweden, have recently adopted a recommendation system for holiday accommodation bookings. Machine learning techniques such as Collaborativ... Read More about Machine learning with Python.