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contributor authorM. Janga Reddy
contributor authorS. Adarsh
date accessioned2017-05-08T21:52:44Z
date available2017-05-08T21:52:44Z
date copyrightAugust 2010
date issued2010
identifier other%28asce%29ir%2E1943-4774%2E0000245.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/65106
description abstractIn 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.
publisherAmerican Society of Civil Engineers
titleOvertopping Probability Constrained Optimal Design of Composite Channels Using Swarm Intelligence Technique
typeJournal Paper
journal volume136
journal issue8
journal titleJournal of Irrigation and Drainage Engineering
identifier doi10.1061/(ASCE)IR.1943-4774.0000217
treeJournal of Irrigation and Drainage Engineering:;2010:;Volume ( 136 ):;issue: 008
contenttypeFulltext


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