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Performance Comparison Of MOPSO And NSGA-II Algorithms In Calculating The Rule Curve Of Multi Reservoir Systems
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Hamed Mazandarani zadeh   , Javad Piadeh koohsar , S Kazem Sadr |
| IKIU , mazandaranizadeh@eng.ikiu.ac.ir |
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Abstract: (1550 Views) |
| Iran is located an arid and semi-arid region of the world, with an average annual rainfall of less than one-third of the global average. There is lack of water to meet the consumptions in many sectors. The construction of a reservoir on the rivers as an instrument for regulating flow in time and place is one of the ways to deal with the water crisis, , as more than one dam has been built on some rivers. Functional dependence and the impact of the operation of each reservoir on the other one leads to the complexity of the operation of multi reservoir systems. In reservoir operation models, various requirements, such as agriculture, drinking, environmental and hydropower is considered. Multi-objective optimization models are an appropriate tool for dealing with heterogeneous multi-objective problems. MOPSO and NSGA-II are effective multi-objective optimization models that have been considered by many researchers so far. In this research, the comparison of two widely used NSGA-II and MOPSO algorithms to extract the rule curves of Boostan and Golestan reservoirs located in Gorgan Rood watershed in drought conditions has been investigated. |
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| Keywords: Multi Objective Optimization, Need supply, Climate Change, Reliability, Gorgan Rood |
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Full-Text [PDF 1360 kb]
(254 Downloads)
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Type of Study: Research |
Subject:
هیدرولوژی و برنامه ریزی منابع آب
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