Inexact de Novo programming for water resources systems planning
Date
2009
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Publisher
Elsevier
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.
Description
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Journal Article (peer-reviewed)
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Keywords
UNCERTAINTY, DECISION ANALYSIS, GLOBAL SOUTH, URBAN WATER AND SANITATION, WATER RESOURCES MANAGEMENT, WATER DISTRIBUTION, MATHEMATICAL MODELS, DECISION MAKING, FUZZY POSSIBILISTIC PROGRAMMING