- Title
- Multi-objective optimization analysis for the Canberra water supply system
- Creator
- Cui, Lijie; Kuczera, George
- Relation
- Joint International Convention of 8th IAHS Scientific Assembly and 37th IAH Congress. Hydroinformatics in Hydrology, Hydrogeology and Water Resources: Proceedings of Symposium JS.4 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH) (Hyderabad, India 6-12 September, 2009) p. 189-199
- Relation
- http://iahs.info/redbooks/331.htm#2
- Publisher
- IAHS Press
- Resource Type
- conference paper
- Date
- 2009
- Description
- Planning and management of urban water supply headworks systems is a complex and difficult task. Typically, such systems have not only multiple users with different objectives and risk tolerances, but also multiple sources with different levels of quality. This complexity gives rise to an incredibly large number of infrastructure and operating policy options. This is often complicated by the existence of multiple competing objectives, whereby a gain in one particular objective may result in a loss in another objective. The solution to these problems requires simultaneous consideration of conflicting objectives. Multi-objective optimization deals with the process of simultaneously optimizing two or more conflicting objectives subject to certain constraints. The genetic algorithm is a highly suitable technique for solving multi-objective optimization problems. This study demonstrates the applicability of multi-objective optimization method, in particular, the ε-dominance multi-objective evolutionary algorithm (εMOEA) for an urban water supply system.
- Subject
- multi-objective optimization; genetic algorithms; water supply
- Identifier
- uon:8997
- Identifier
- http://hdl.handle.net/1959.13/919843
- Identifier
- ISBN:9781907161025
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