IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Water resources and hydroinformatics : Multi-objective optimization of dimensions of the rainwater harvesting systems using imperialist com...
Multi-objective optimization of dimensions of the rainwater harvesting systems using imperialist competitive algorithm (ica)
Generally, the rainwater harvesting systems are used as a strategy for the management of runoff and water supply
during rainfall. Before transforming the rainfall in the form of evaporation or flooding, it can be collected and used with
help of storage methods. There are many restrictions for implementation of rainwater harvesting systems, such as, the
lack of space and the cost of installing these systems, and these are caused the optimization to be inevitable. Imperialist
competitive algorithm (ICA) is a new method of optimization that uses from a social phenomenon and has an
appropriate performance. In this paper, 4. The multi-objective imperialist competitive algorithm (MOICA) has been
studied on part of the Tehran city, Iran. The results showed the high effectiveness of the optimal volume of rainwater
harvesting systems on the peak discharge and flood volume, so that for a flood with a return period of 50 years, the peak
flow reduced up to about 53 percent and flood volume reduced up to about 49 percent.
File Size : 701,109 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Water resources and hydroinformatics
Date Published : 19/08/2015
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