121-Estimation of Optimal Storage of a Multi-Reservoir System Using Simulation Linked Genetic Algorithm.

dc.contributor.author	Sahay, R. R.
dc.date.accessioned	2020-09-10T19:59:48Z
dc.date.available	2020-09-10T19:59:48Z
dc.date.issued	2009
dc.identifier.uri	http://117.252.14.250:8080/jspui/handle/123456789/4791
dc.description.abstract	In this paper the cost of a multiple reservoir system is minimized using simulation linked Genetic Algorithm (GA). Simulation is used to determine preliminary storages of reservoirs at potential sites which satisfied a given set of targets. Thereafter, GA is applied on yield-cost functions of reservoirs to get the optimal (minimum) cost of the system. The model is applied to a real multiple reservoir system in India i.e., the Damodar Valley System of Reservoirs. The result obtained from GA is found to be very close to that obtained from dynamic programming method.	en_US
dc.language.iso	en	en_US
dc.publisher	Allied Publishers Pvt. Limited, New Delhi	en_US
dc.subject	Reservoir Regulation	en_US
dc.subject	Decision Support System	en_US
dc.subject	Multi-Reservoir System	en_US
dc.subject	Genetic Algorithm (GA)	en_US
dc.subject	Damodar Valley System	en_US
dc.title	121-Estimation of Optimal Storage of a Multi-Reservoir System Using Simulation Linked Genetic Algorithm.	en_US
dc.type	Other	en_US