The information obtained through these post-optimality analyses can provide useful decision support for water managers. They are further analyzed and interpreted for generating decision alternatives and identifying significant factors that affect the system's performance. The results indicate that reasonable solutions have been obtained. The ITSP is applied to a hypothetical case study of water resources system operation. The solution meth od for ITSP is computationally effective, which makes it applicable to practical problems. It can reflect not only uncertainties expressed as probability distributions but also those being available as intervals. The model is a hybrid of inexact optimization and two-stage stochastic programming. An inexact two-stage stochastic programming (ITSP) model is proposed for water resources management under uncertainty. Abstract: An inexact two-stage stochastic programming (ITSP) model is proposed for water resources management under uncertainty.
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