Genetic Algorithms for Multi-reservoir System Optimization
DSpace at IIT Bombay
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Title |
Genetic Algorithms for Multi-reservoir System Optimization
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Creator |
Jothiprakash, V
Ganesan Shanthi |
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Subject |
genetic algorithm
uniform crossover modified mutation multi-reservoir |
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Description |
A Genetic Algorithm (GA) model has been developed and applied to derive optimal operational strategies for a multireservoir system in Tamil Nadu, India with the objective of minimizing the square of irrigation deficit. Release for irrigation and other demands (industrial and municipal demands), from the reservoirs are considered as the output variables. The monthly time stepped model was solved with 13 years of inflow data to derive the optimal operational strategies. The sensitivity analysis in obtaining optimal number of population, probability of crossover and number of generation showed values of 150, 0.84 and 275 respectively for the present study carried out. It is also found that the GA model has resulted in better performance when compared to the actual releases.
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Publisher |
Indian Society for Hydraulics
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Date |
2012-09-12T11:03:30Z
2012-09-12T11:03:30Z 2006 |
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Type |
Article
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Identifier |
ISH Journal of Hydraulic Engineering, 12(3) 72-82
2164-3040 http://dspace.library.iitb.ac.in/jspui/handle/100/14404 |
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Language |
English
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