DocumentCode
3475889
Title
Notice of Retraction
Adaptive immune genetic algorithm for optimization reservoir dispatching
Author
Dong Wensheng ; Zhang Xinzhong ; Liu Xuemei
Author_Institution
Inst. of Yellow River Sci., North China Inst. of Water Conservancy & Hydroelectric Power, Zhengzhou, China
Volume
3
fYear
2010
fDate
12-13 June 2010
Firstpage
41
Lastpage
44
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.
Reservoir optimization dispatching involves non-linear optimization in their solution with high dimensionality and large number of constraints. Often the conventional techniques fail to yield global optimal solutions. The recently proposed evolutionary algorithms are also facing problems, while solving large-scale problems. In this paper, an adaptive immune genetic algorithm (AIGA) is proposed to solve optimizing reservoir operation. Because of the AIGA can adjust adaptively the genetic operation parameters; and ensure diversity of population according to the value of individual fitness, and selection strategy based on density. This method effectively avoids premature convergence phenomenon. Case results show that this algorithm effectively restrains premature convergence, greatly improves global search performance and increases converging speed.
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.
Reservoir optimization dispatching involves non-linear optimization in their solution with high dimensionality and large number of constraints. Often the conventional techniques fail to yield global optimal solutions. The recently proposed evolutionary algorithms are also facing problems, while solving large-scale problems. In this paper, an adaptive immune genetic algorithm (AIGA) is proposed to solve optimizing reservoir operation. Because of the AIGA can adjust adaptively the genetic operation parameters; and ensure diversity of population according to the value of individual fitness, and selection strategy based on density. This method effectively avoids premature convergence phenomenon. Case results show that this algorithm effectively restrains premature convergence, greatly improves global search performance and increases converging speed.
Keywords
genetic algorithms; reservoirs; search problems; adaptive immune genetic algorithm; evolutionary algorithms; global search performance; reservoir optimization dispatching; Artificial neural networks; Biological cells; Optimization; Adaptive Immune genetic algorithm; Optimal dispatching; Reservoir;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6944-4
Type
conf
DOI
10.1109/CCTAE.2010.5544227
Filename
5544227
Link To Document