2018
DOI: 10.4314/wsa.v34i5.180651
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Optimising water distribution systems using a weighted penalty in a genetic algorithm

Abstract: Genetic algorithms (GAs) have become the preferred water system design optimisation technique for many researchers and practitioners. The main reason for using GAs is their ability to deal with nonlinear complex optimisation problems. The optimal decision in terms of designing, expansion/extending, addition or rehabilitation of water supply systems has to review possible options and select a cost-effective and efficient solution. This paper presents a new approach in determining a penalty value depending on th… Show more

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Cited by 36 publications
(26 citation statements)
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“…Several mathematical approaches have been developed to treat the problems associated with penalty functions (Wu and Simpson, 2002;Van Dijk et al, 2008;Vassiljev et al, 2015). Among them, (Marchiori et al) present a broad comparison among various penalty functions applied to WDN optimal design.…”
Section: Optimization Problem Statementmentioning
confidence: 99%
“…Several mathematical approaches have been developed to treat the problems associated with penalty functions (Wu and Simpson, 2002;Van Dijk et al, 2008;Vassiljev et al, 2015). Among them, (Marchiori et al) present a broad comparison among various penalty functions applied to WDN optimal design.…”
Section: Optimization Problem Statementmentioning
confidence: 99%
“…Similar challenges in parameter estimation are addressed through calibration in other water-related applications. Numerous case studies that utilise parametric calibration have been published in water distribution network modelling (Madsen, 2000;Van Vuuren, 2002;Van Dijk et al, 2008), rainfall-runoff modelling (Ndiritu and Daniell, 1999) of watersheds, etc. The calibration process involves the systematic adjustment of parameter values to achieve good agreement between model outputs and the observed values.…”
Section: Model Calibrationmentioning
confidence: 99%
“…In terms of the calculation process, evolutionary programming techniques like genetic algorithms have been widely used for water distribution optimization, for example by Marchi et al [16], Kadu et al [17], or Van Dijk et al [18]. Nevertheless, most efforts in modern models deal with the computational processes.…”
Section: Introductionmentioning
confidence: 99%