DocumentCode
1953192
Title
Notice of Retraction
Study on urban spatial growth system based on genetic algorithm
Author
Yu Zhuo ; Wu Zhihua ; Xiang Bin
Author_Institution
Urban Design Coll., Wuhan Univ., Wuhan, China
Volume
7
fYear
2010
fDate
9-11 July 2010
Firstpage
553
Lastpage
556
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.
Some characteristics of genetic algorithm just reflect dynamic characteristics of urban spatial growth, thus in order to obtain the quantitative urban growth result, this paper constructs urban spatial growth system based on genetic algorithm and GIS technique. Hereon, the system functions and data are firstly depicted, then system implementation process are further confirmed, including data inputting, coding and suitable-value calculating that are all aimed to genetic algorithm operation. Through this research, try to find out urban spatial growth result quantitatively.
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.
Some characteristics of genetic algorithm just reflect dynamic characteristics of urban spatial growth, thus in order to obtain the quantitative urban growth result, this paper constructs urban spatial growth system based on genetic algorithm and GIS technique. Hereon, the system functions and data are firstly depicted, then system implementation process are further confirmed, including data inputting, coding and suitable-value calculating that are all aimed to genetic algorithm operation. Through this research, try to find out urban spatial growth result quantitatively.
Keywords
genetic algorithms; geographic information systems; GIS technique; coding; data inputting; genetic algorithm; system implementation; urban spatial growth system; Biology; Encoding; Iron; Lakes; Lead; Roads; GIS; genetic algorithm; urban spatial growth;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564796
Filename
5564796
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