Real-Time Reservoir Operation for Flood Control Using Artificial Intelligent Techniques-Reference-Cited by-同舟云学术

Real-Time Reservoir Operation for Flood Control Using Artificial Intelligent Techniques

Published:2010-01 Issue:11 Volume:11 Page:
ISSN:2191-0294
Container-title:International Journal of Nonlinear Sciences and Numerical Simulation
language:
Short-container-title:

Author:

Chang L-C.,Chang F-J.,Hsu H-C.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,General Physics and Astronomy,Mechanics of Materials,Engineering (miscellaneous),Modelling and Simulation,Computational Mechanics,Statistical and Nonlinear Physics

Link

https://www.degruyter.com/document/doi/10.1515/IJNSNS.2010.11.11.887/pdf

Reference25 articles.

1. Solving nonlinear water management models using a combined genetic algorithm and linear programming approach

2. Guiding rational reservoir flood operation using penalty-type genetic algorithm

3. Reservoir operation using grey fuzzy stochastic dynamic programming

4. Intelligent control for modelling of real-time reservoir operation

5. Constrained genetic algorithms for optimizing multi-use reservoir operation

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