DocumentCode
532286
Title
Notice of Retraction
Application of multi-objective evolutionary algorithm to cascade reservoirs operation
Author
Ma Kai ; Lu ShiBao ; Huang Qiang
Author_Institution
Kay Lab. of Northwest Water Resources an Environ. Ecology of MOE, Xi´an Univ. of Technol., Xi´an, China
Volume
8
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, a multi-objective evolutionary algorithm, the non-dominated sorting genetic algorithm (NSGA-II), is applied to examine the operations of four cascade reservoirs system in the upper Wujiang River, Guizhou Province of China. The Optimization model is established with two objects, which are the maximal generation of and the firm power in certain probability. The NSGA-II is applied to simulate optimal operating strategies based on a 10 year data set. Two representative algorithms, dynamic programming with successive approximation (SADP) and discrete differential dynamic programming, are also applied to evaluate simulation performance. The result demonstrates that both the annual generation and the firm power of cascade system, derived from NSGA-II, are superior to the traditional strategy and the other two algorithms. It indicated that NSGA-II exhibits obvious advantage on solution of complex multi-variable and multi-objective problems on comparison with other traditional optimization algorithms.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, a multi-objective evolutionary algorithm, the non-dominated sorting genetic algorithm (NSGA-II), is applied to examine the operations of four cascade reservoirs system in the upper Wujiang River, Guizhou Province of China. The Optimization model is established with two objects, which are the maximal generation of and the firm power in certain probability. The NSGA-II is applied to simulate optimal operating strategies based on a 10 year data set. Two representative algorithms, dynamic programming with successive approximation (SADP) and discrete differential dynamic programming, are also applied to evaluate simulation performance. The result demonstrates that both the annual generation and the firm power of cascade system, derived from NSGA-II, are superior to the traditional strategy and the other two algorithms. It indicated that NSGA-II exhibits obvious advantage on solution of complex multi-variable and multi-objective problems on comparison with other traditional optimization algorithms.
Keywords
approximation theory; dynamic programming; genetic algorithms; reservoirs; rivers; cascade reservoirs operation; discrete differential dynamic programming; multiobjective evolutionary algorithm; nondominated sorting genetic algorithm; optimization model; successive approximation; upper Wujiang river; Electronic mail; Reservoirs; Multi-objective evolutionary algorithm; Optimization model; Wujiang River; cascade Reservoirs; non-dominated sorting genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Type
conf
DOI
10.1109/ICCASM.2010.5620276
Filename
5620276
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