Optimal Rehabilitation of Water Distribution Systems Using a Cluster-Based Technique
- Submitting institution
-
The University of West London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12015
- Type
- D - Journal article
- DOI
-
10.1061/(asce)wr.1943-5452.0000770
- Title of journal
- Journal of Water Resources Planning and Management
- Article number
- -
- First page
- 04017022
- Volume
- 143
- Issue
- 7
- ISSN
- 0733-9496
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents an innovative framework for optimal multi-objective rehabilitation of large water distribution systems (WDS) based on the combination of clustering techniques and evolutionary algorithms to promptly identify critical points, configure district metered areas and optimise rehabilitation strategies. The framework as a reproducible algorithm can significantly reduce computational efforts in real-world WDS. This research is a novel combination of engineering judgement with graph theory to streamline the widespread use of optimisation techniques for future research and practical works in WDS. This research was the result of an international collaboration of researchers from UK, Iraq and Iran.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
