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Development of optimisation-based DSS for flood control

Author

Listed:
  • Majdi Argoubi
  • Abdelkader El Kamel
  • Khaled Mellouli

Abstract

A decision support system (DSS) has been developed for integrated, real-time flood control in a multi-reservoir system. The DSS integrates an optimisation module with a geographic information system, and a graphical dialogue interface allowing effective use by system operators. A neuro-dynamic programming technique, which overcomes numerous limitations of stochastic dynamic programming, is introduced for determining the optimal release policy under flood conditions. The method is illustrated by a real-world case study.

Suggested Citation

  • Majdi Argoubi & Abdelkader El Kamel & Khaled Mellouli, 2012. "Development of optimisation-based DSS for flood control," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 14(2), pages 200-220.
    • Handle: RePEc:ids:ijores:v:14:y:2012:i:2:p:200-220
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    Cited by:

    1. Morgunov, V.I. (Моргунов, В.И.), 2016. "The Liquidity Management of the Banking Sector and the Short-Term Money Market Interest Rates [Управление Ликвидностью Банковского Сектора И Краткосрочной Процентной Ставкой Денежного Рынка]," Working Papers 21311, Russian Presidential Academy of National Economy and Public Administration.

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