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Inexact de Novo programming for water resources systems planning

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dc.contributor.author Zhang, Y.M.
dc.contributor.author Huang, G.H.
dc.contributor.author Zhang, X.D.
dc.date.accessioned 2011-12-23T14:42:19Z
dc.date.available 2011-12-23T14:42:19Z
dc.date.issued 2009
dc.identifier.issn 0377-2217
dc.identifier.uri http://hdl.handle.net/10625/47910
dc.description.abstract This study presents an interval de Novo programming (IDNP) approach for the design of optimal water resources management systems under uncertainty. The results demonstrate that the developed method efficiently produces stable solutions under different objectives. Under a given budget, optimal supplies of good quality water can be obtained while considering different revenue targets of municipal–industrial–agricultural competition. The model is derived by incorporating the existing interval programming and de Novo programming, allowing uncertainties represented as intervals within the optimization framework. en
dc.format Text en
dc.format.extent 1 digital file (p. 531–541) en
dc.language.iso en
dc.publisher Elsevier en
dc.relation.ispartof European journal of operational research, 199 (2009) en
dc.subject UNCERTAINTY en
dc.subject DECISION ANALYSIS en
dc.subject GLOBAL SOUTH en
dc.subject URBAN WATER AND SANITATION en
dc.subject WATER RESOURCES MANAGEMENT en
dc.subject WATER DISTRIBUTION en
dc.subject MATHEMATICAL MODELS en
dc.subject DECISION MAKING en
dc.subject FUZZY POSSIBILISTIC PROGRAMMING en
dc.title Inexact de Novo programming for water resources systems planning en
dc.type Journal Article (peer-reviewed) en
idrc.project.number 103710
idrc.project.title ECOPOLIS Graduate Research and Design Competition (Global) en
idrc.dspace.access IDRC Only en
idrc.rims.adhocgroup IDRC SUPPORTED en


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