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Hard  watercontamination0202r

Problem typeMINLPLib2
Objective sensemin
Variables287  (7 binary, 0 general integer, 280 continuous)
Nonlinear variables280
Nonlinear constraints95
Linear nonzeros469
Nonlinear nonzeros401
Download watercontamination0202r.pip.gz watercontamination0202r.gms.gz watercontamination0202r.mod.gz
Best known solutionwatercontamination0202r.sol.gz
Best known objective97.9045
Best known bound97.9045
OriginatorWater0202R.nl from CMU-IBM MINLP project page
FormulatorStefan Vigerske
DonatorStefan Vigerske
References LairdBieglerBloemenWaanders2006
Links MINLP Library 2
Additional informationInverse problem for the determination of contamination sources in municipal water networks. The constraints come from discretized dynamic models of the water network quality model. The objective is the least squares error between calculated and measured network concentrations with a regularization term to force a unique solution. Integer variables are added to restrict the allowable contamination scenarios. Application: Water Network Contamination

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