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Overtopping Probability Constrained Optimal Design of Composite Channels Using Swarm Intelligence Technique

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Title Overtopping Probability Constrained Optimal Design of Composite Channels Using Swarm Intelligence Technique
 
Creator REDDY, MJ
ADARSH, S
 
Subject open drainage channels
trapezoidal channels
reservoir operation
optimization
irrigation channels
optimal design
swarm intelligence
elitist mutation
particle swarm optimization
overtopping probability
probabilistic cost function
 
Description In this paper swarm intelligence based methodology is proposed for optimal and reliable design of irrigation channels. The input parameters involved in channel design are prone to uncertainty and the solution of deterministic model may result in flooding risk and affect the stability of the channel. To provide reliability in the design, an overtopping probability constrained design is presented in this study. The deterministic equivalent of the probabilistic constraint is derived by following the principle of first order uncertainty analysis. In order to account for the uncertainty of design parameters in the objective function, a modified cost function is proposed. A methodology is propounded to solve it in a metaheuristic environment and solved it using elitist-mutated particle swarm optimization (EMPSO) method. The EMPSO based solutions are found to be quite successful and better than the classical optimization methods. Finally, it is concluded that the proposed methodology has a good potential for reliable design of composite channels for designer specified reliability values.
 
Publisher ASCE-AMER SOC CIVIL ENGINEERS
 
Date 2011-07-18T13:34:51Z
2011-12-26T12:50:38Z
2011-12-27T05:36:32Z
2011-07-18T13:34:51Z
2011-12-26T12:50:38Z
2011-12-27T05:36:32Z
2010
 
Type Article
 
Identifier JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING-ASCE, 136(8), 532-542
0733-9437
http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000217
http://dspace.library.iitb.ac.in/xmlui/handle/10054/4934
http://hdl.handle.net/10054/4934
 
Language en