Overtopping Probability Constrained Optimal Design of Composite Channels Using Swarm Intelligence Technique
Publication: Journal of Irrigation and Drainage Engineering
Volume 136, Issue 8
Abstract
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.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 136 • Issue 8 • August 2010
Pages: 532 - 542
Copyright
© 2010 ASCE.
History
Received: Aug 14, 2009
Accepted: Dec 23, 2009
Published online: Jul 15, 2010
Published in print: Aug 2010
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