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Optimization of Hydropower Reservoir Using Evolutionary Algorithms Coupled with Chaos

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Title Optimization of Hydropower Reservoir Using Evolutionary Algorithms Coupled with Chaos
 
Creator JOTHIPRAKASH, V
ARUNKUMAR, R
 
Subject Chaos algorithm
Differential evolution algorithm
Genetic algorithm
Optimization
Hydropower system
CODED GENETIC ALGORITHM
DIFFERENTIAL EVOLUTION
MULTIRESERVOIR SYSTEMS
OPERATION
MODELS
MANAGEMENT
 
Description Over the past decade, several conventional optimization techniques had been developed for the optimization of complex water resources system. To overcome some of the drawbacks of conventional techniques, soft computing techniques were developed based on the principles of natural evolution. The major difference between the conventional optimization techniques and soft computing is that in the former case, the optimal solution is derived where as in the soft computing techniques, it is searched from a randomly generated population of possible solutions. The results of the evolutionary algorithm mainly depend on the randomly generated initial population that is arrived based on the probabilistic theory. Recent research findings proved that most of the water resources variables exhibit chaotic behavior, which is a projection depends upon the initial condition. In the present study, the chaos algorithm is coupled with evolutionary optimization algorithms such as genetic algorithm (GA) and differential evolution (DE) algorithm for generating the initial population and applied for maximizing the hydropower production from a reservoir. The results are then compared with conventional genetic algorithm and differential evolution algorithm. The results show that the chaotic differential evolution (CDE) algorithm performs better than other techniques in terms of total annual power production. This study also shows that the chaos algorithm has enriched the search of general optimization algorithm and thus may be used for optimizing complex non-linear water resources systems.
 
Publisher SPRINGER
 
Date 2014-10-16T12:20:35Z
2014-10-16T12:20:35Z
2013
 
Type Article
 
Identifier WATER RESOURCES MANAGEMENT, 27(7)1963-1979
http://dx.doi.org/10.1007/s11269-013-0265-8
http://dspace.library.iitb.ac.in/jspui/handle/100/15531
 
Language en