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Genetic Algorithms for Multi-reservoir System Optimization

DSpace at IIT Bombay

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Title Genetic Algorithms for Multi-reservoir System Optimization
 
Creator Jothiprakash, V
Ganesan Shanthi
 
Subject genetic algorithm
uniform crossover
modified mutation
multi-reservoir
 
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.
 
Publisher Indian Society for Hydraulics
 
Date 2012-09-12T11:03:30Z
2012-09-12T11:03:30Z
2006
 
Type Article
 
Identifier ISH Journal of Hydraulic Engineering, 12(3) 72-82
2164-3040
http://dspace.library.iitb.ac.in/jspui/handle/100/14404
 
Language English