DocumentCode
532069
Title
Notice of Retraction
Application of Improved Genetic Algorithm in prestressed aqueduct structural optimal design
Author
Wei Yao ; Ping Huang ; Hui Peng
Author_Institution
Coll. of Civil Eng. & Archit., China Three Gorges Univ., Yichang, China
Volume
5
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.
Design of prestressed concrete aqueduct is involved in multidimensional variables non-linear optimal problem, although there are many traditional optimization methods. However, more or less disadvantages of these traditional methods affect optimization results. As a result, a new method of Improved Genetic Algorithm which have better search capability and global optimization is applied in Xinjiang Nilka prestressed concrete aqueduct design. The result shows that the improved algorithm is feasible and effective, which provides references to similar projects design in the future.
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.
Design of prestressed concrete aqueduct is involved in multidimensional variables non-linear optimal problem, although there are many traditional optimization methods. However, more or less disadvantages of these traditional methods affect optimization results. As a result, a new method of Improved Genetic Algorithm which have better search capability and global optimization is applied in Xinjiang Nilka prestressed concrete aqueduct design. The result shows that the improved algorithm is feasible and effective, which provides references to similar projects design in the future.
Keywords
design engineering; genetic algorithms; reinforced concrete; structural engineering; genetic algorithm; multidimensional variables nonlinear optimal problem; optimization methods; prestressed aqueduct structural optimal design; prestressed concrete design; Gallium; Optimization; improved genetic algorithm; rectangle aqueduct; structural optimal; three-dimensional prestress;
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.2010.5619400
Filename
5619400
Link To Document