2006
DOI: 10.1061/(asce)0733-9496(2006)132:2(122)
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Alternative Decision Making in Water Distribution Network with NSGA-II

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Cited by 68 publications
(29 citation statements)
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“…A multi-objective optimisation approach was possibly first applied in the late 1990s (Figure 1), maximising the network benefit on one hand and minimising the system cost (of network rehabilitation) on the other hand [63]. In studies of newly designed WDSs, in addition to the economic measure, the other objectives considered were the pressure deficit [30,62,[64][65][66][67] or excess [68,69] at network nodes, the penalty cost for violating the pressure constraint [70], greenhouse gas (GHG) emissions [71][72][73][74][75][76] or emission cost [77], water discolouration risk [68] and water quality [78]. A multiobjective optimisation approach is considered "very appealing for engineers as it provides a tool to investigate interesting trade-offs", for example, a marginal pressure deficit can be outweighed by a considerable cost reduction [67].…”
Section: Introductionmentioning
confidence: 99%
“…A multi-objective optimisation approach was possibly first applied in the late 1990s (Figure 1), maximising the network benefit on one hand and minimising the system cost (of network rehabilitation) on the other hand [63]. In studies of newly designed WDSs, in addition to the economic measure, the other objectives considered were the pressure deficit [30,62,[64][65][66][67] or excess [68,69] at network nodes, the penalty cost for violating the pressure constraint [70], greenhouse gas (GHG) emissions [71][72][73][74][75][76] or emission cost [77], water discolouration risk [68] and water quality [78]. A multiobjective optimisation approach is considered "very appealing for engineers as it provides a tool to investigate interesting trade-offs", for example, a marginal pressure deficit can be outweighed by a considerable cost reduction [67].…”
Section: Introductionmentioning
confidence: 99%
“…NSGA-II [99] is an improved version of NSGA and has been popularly applied to WDN optimization [106], [107] with low computational complexity and ability to find a good set of diverse solutions. The minimum nodal head across the whole network and the capital cost were considered as the two objectives in [108] and the optimization was undertaken by the proposal of a computationally efficient decomposition and dual-stage multi-objective optimization (DDMO) method.…”
Section: E Multi-objective Optimization Approachesmentioning
confidence: 99%
“…It has been widely applied in various disciplines. Some of the recent applications are reservoir system optimization (Reddy and Kumar 2007), optimal design of water distribution networks (Atiquzzaman et al 2006), optimal waste load allocation in rivers (Murty et al 2006), and groundwater monitoring design (Reed and Minsker 2004).…”
Section: Multi-objective Optimization Algorithmmentioning
confidence: 99%