- Title
- Sensitivity of algorithm parameters and objective function scaling in multi-objective optimisation of water distribution systems
- Creator
- Mala-Jetmarova, Helena; Barton, Andrew; Bagirov, Adil
- Date
- 2015
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/101156
- Identifier
- vital:10656
- Identifier
- ISSN:1464-7141
- Abstract
- This paper presents an extensive analysis of the sensitivity of multi-objective algorithm parameters and objective function scaling tested on a large number of parameter setting combinations for a water distribution system optimisation problem. The optimisation model comprises two operational objectives minimised concurrently, the pump energy costs and deviations of constituent concentrations as a water quality measure. This optimisation model is applied to a regional nondrinking water distribution system, and solved using the optimisation software GANetXL incorporating the NSGA-II linked with the network analysis software EPANet. The sensitivity analysis employs a set of performance metrics, which were designed to capture the overall quality of the computed Pareto fronts. The performance and sensitivity of NSGA-II parameters using those metrics is evaluated. The results demonstrate that NSGA-II is sensitive to different parameter settings, and unlike in the single-objective problems, a range of parameter setting combinations appears to be required to reach a Pareto front of optimal solutions. Additionally, inadequately scaled objective functions cause the NSGA-II bias towards the second objective. Lastly, the methodology for performance and sensitivity analysis may be used for calibration of algorithm parameters.
- Publisher
- IWA Publishing
- Relation
- Journal of Hydroinformatics Vol. 17, no. 6 (2015), p. 891-916; http://purl.org/au-research/grants/arc/LP0990908
- Rights
- Copyright © IWA Publishing 2015
- Rights
- This metadata is freely available under a CCO license
- Subject
- Algorithm parameters; Multi-objective optimisation; Performance metrics; Scaling; Sensitivity; Water distribution systems
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