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contributor authorShie-Yui Liong
contributor authorWeng Tat Chan
contributor authorJaya ShreeRam
date accessioned2017-05-08T20:42:23Z
date available2017-05-08T20:42:23Z
date copyrightAugust 1995
date issued1995
identifier other%28asce%290733-9429%281995%29121%3A8%28613%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/24181
description abstractThe success of a catchment model is known to depend a great deal on the catchment-model calibration scheme applied to it. This paper presents the application of a genetic algorithm (GA) in the search for the optimal values of catchment calibration parameters. GA is linked to a widely used catchment model, the storm water management model (SWMM), and applied to a catchment in Singapore of about 6.11 km
publisherAmerican Society of Civil Engineers
titlePeak-Flow Forecasting with Genetic Algorithm and SWMM
typeJournal Paper
journal volume121
journal issue8
journal titleJournal of Hydraulic Engineering
identifier doi10.1061/(ASCE)0733-9429(1995)121:8(613)
treeJournal of Hydraulic Engineering:;1995:;Volume ( 121 ):;issue: 008
contenttypeFulltext


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