Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/6752
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dc.contributor.authorGupta, Indrani-
dc.contributor.authorKhanna, P.-
dc.date.accessioned2022-04-27T16:38:52Z-
dc.date.available2022-04-27T16:38:52Z-
dc.date.issued2001-
dc.identifier.urihttp://117.252.14.250:8080/jspui/handle/123456789/6752-
dc.description.abstractGenetic algorithms are nature based stochastic computational techniques. The major advantages of these algorithms are their broad applicability, flexibility and the potential of finding near optimal solutions. The paper presents a methodology based on genetic algorithm for lower cost design of new, and augmentation of existing water distribution networks. The results have been compared with a nonlinear programming technique through their application in a case study. The genetic algorithm results in improved convergence in successive generations leading to lower cost solution. Parameters governing the convergence of solution in nonlinear and genetic algorithm have also been discussed.en_US
dc.language.isoenen_US
dc.publisherNational Institute of Hydrologyen_US
dc.subjectEmerging Techniques in Water Resourcesen_US
dc.subjectGenetic Algorithmen_US
dc.subjectWater Distribution Systemsen_US
dc.title5-Genetic Algorithm for Optimisation of Water Distribution Systems.en_US
dc.typeTechnical Reporten_US
Appears in Collections:21-Jal Vigyan Sameeksha Vol.-16(1-2)-2001

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