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Chaotic Evolutionary Algorithms for Multi-Reservoir Optimization

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Title Chaotic Evolutionary Algorithms for Multi-Reservoir Optimization
 
Creator ARUNKUMAR, R
JOTHIPRAKASH, V
 
Subject Chaos
Evolutionary algorithms
Multi-reservoir system
Optimization
Hydropower production
HYBRID GENETIC ALGORITHM
DIFFERENTIAL EVOLUTION
OPERATION
POLICIES
MODELS
 
Description The water sharing dispute in a multi-reservoir river basin forces the water resources planners to have an integrated operation of multi-reservoir system rather than considering them as a single reservoir system. Thus, optimizing the operations of a multi-reservoir system for an integrated operation is gaining importance, especially in India. Recently, evolutionary algorithms have been successfully applied for optimizing the multi-reservoir system operations. The evolutionary optimization algorithms start its search from a randomly generated initial population to attain the global optimal solution. However, simple evolutionary algorithms are slower in convergence and also results in sub-optimal solutions for complex problems with hardbound variables. Hence, in the present study, chaotic technique is introduced to generate the initial population and also in other search steps to enhance the performance of the evolutionary algorithms and applied for the optimization of a multi-reservoir system. The results are compared with that of a simple GA and DE algorithm. From the study, it is found that the chaotic algorithm with the general optimizer has produced the global optimal solution (optimal hydropower production in the present case) within lesser generations. This shows that coupling the chaotic algorithm with evolutionary algorithm will enrich the search technique by having better initial population and also converges quickly. Further, the performances of the developed policies are evaluated for longer run using a simulation model to assess the irrigation deficits. The simulation results show that the model satisfactorily meets the irrigation demand in most of the time periods and the deficit is very less.
 
Publisher SPRINGER
 
Date 2014-10-17T05:34:24Z
2014-10-17T05:34:24Z
2013
 
Type Article
 
Identifier WATER RESOURCES MANAGEMENT, 27(15)5207-5222
0920-4741
1573-1650
http://dx.doi.org/10.1007/s11269-013-0463-4
http://dspace.library.iitb.ac.in/jspui/handle/100/16079
 
Language en