A robust optimization approach for real-time multiple source drinking water blending problem

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DOIResolve DOI: http://doi.org/10.2166/aqua.2012.037
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TypeArticle
Journal titleJournal of Water Supply: Research and Technology - AQUA
ISSN0003-7214
Volume61
Issue2
Pages111122; # of pages: 12
Subjectfuzzy optimization; multi-objective; real-time operation; robust optimum; water quality
AbstractAlthough many optimization methods can be applied to real-time multiple source drinking water blending problems, the field still lacks an approach to rapidly produce a robust optimal solution by simultaneously optimizing multiple objectives. This paper develops a fuzzy multiple response surface methodology (FMRSM) to achieve this objective. In the FMRSM, experimental data are fitted to mean response surface models while the residuals (the error between the predicted response of the mean model and the measured data of the real system) are fitted to standard deviation models. Fuzzy linear programming using the min-operator approach is applied to optimize the multiple objectives. Six scenarios are designed based on data from a real-time multiple source drinking water blending operation. The results show the FMRSM is a robust, computationally efficient optimization approach. The FMRSM could be extended to other real-time multi-objective non-linear optimization problems. © IWA Publishing 2012.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NPARC number21270127
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Record identifiere5d752ac-73c9-45a6-b096-2fd1be3f68d9
Record created2014-01-03
Record modified2016-05-09
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