This project aims to develop a generic, automated and robust search framework in support of the fibre network design.
To minimise the capital expenditure of fibre network planning, various search strategies are utilised, including multi- and single-point approaches, such as:
As this is a real-world problem, this project tries to build a framework to find the most cost-efficient network design utilising aforementioned algorithms that consider real-world (physical) constraints.
This research has been funded by the UK EPSRC (Engineering and Physical Sciences Research Council, grant number EP/S513696/1), with contributions from British Telecom in response to growing concerns over rising demand on fibre networks.
Arpaci, A., Chen, J., Drake, J. and Glover, T., 2021, December. Intelligent strategies to combine move heuristics in selection hyper-heuristics for real-world fibre network design optimisation. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 01-08). IEEE.
Arpaci, A., Chen, J., Drake, J.H. and Glover, T., 2022, July. Sequence-based Selection Hyper-heuristics for Real-World Fibre Network Design Optimisation. In 2022 IEEE Congress on Evolutionary Computation (CEC) (pp. 1-8). IEEE.