A hydrographical network optimization under flood conditions

AbstractA decision support system (DSS) is developed for integrated, real-time flood control in a multi-reservoir system. The DSS integrates a geographic information system (GIS) with an optimization module, and a graphical dialog interface to allow an effective use by system operators. A Neuro-dynamic programming technique (NDP), which overcomes numerous limitations of stochastic dynamic programming (SDP), is introduced to determine the optimal release policy under flood conditions. Results obtained in a real-world case study are finally presented.