2016
DOI: 10.15625/0866-7136/38/1/6490
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Reservoir optimization with differential evolution

Abstract: Reservoir optimization, is one of recent problems, which has been researched by several methods such as Linear Programming (LP), Non-linear Programming (NLP), Genetic Algorithm (GA), and Dynamic Programming (DP). Differential Evolution (DE), a method in GA group, is recently applied in many fields, especially water management. This method is an improved variant of GA to converge and reach to the optimal solution faster than the traditional GA. It is also capable to apply for a wide range space, to a problem wi… Show more

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Cited by 1 publication
(2 citation statements)
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“…h i -water height at time period i, Q i -release at time period i, k -overall generation efficiency. The problem is created as in [1] which means calculation time is in dry season of Sesan cascade. It starts at the beginning of December and ends in the next June.…”
Section: Application Of Dynamic Programmingmentioning
confidence: 99%
See 1 more Smart Citation
“…h i -water height at time period i, Q i -release at time period i, k -overall generation efficiency. The problem is created as in [1] which means calculation time is in dry season of Sesan cascade. It starts at the beginning of December and ends in the next June.…”
Section: Application Of Dynamic Programmingmentioning
confidence: 99%
“…The results by DP of Pleikrong and Ialy reservoirs are shown as the charts and Tables below. These results are compared to the results by Differential Evolution which is a method in Genetic group that we presented in our previous work [1].…”
Section: Application Of Dynamic Programmingmentioning
confidence: 99%