DocumentCode
518028
Title
Notice of Retraction
The research of selecting aim-points for penetration cluster warhead attacking runway based on genetic algorithms and Monte Carlo
Author
Wang Jian ; Wang Minghai
Author_Institution
Xi´an Res. Inst. of Hi-Tech, Xi´an, China
Volume
2
fYear
2010
fDate
16-18 April 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.
When using the penetration cluster warhead attacking runways, the selection of aim-points influents attack effect directly. By way of the analyzing the spread characters of penetration cluster warhead and runway´ characteristics, this paper builds the model of selection aim-point using penetration cluster warhead based on genetic algorithms (GA) and Monte Carlo (MC), and simulates the model. The simulation result indicates that being compared with traditional aim-point selection method, the method that thesis adopted is scientific and reasonable.
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.
When using the penetration cluster warhead attacking runways, the selection of aim-points influents attack effect directly. By way of the analyzing the spread characters of penetration cluster warhead and runway´ characteristics, this paper builds the model of selection aim-point using penetration cluster warhead based on genetic algorithms (GA) and Monte Carlo (MC), and simulates the model. The simulation result indicates that being compared with traditional aim-point selection method, the method that thesis adopted is scientific and reasonable.
Keywords
Monte Carlo methods; airports; genetic algorithms; missiles; roads; Monte Carlo simulation model; aim-point selection model; genetic algorithms; penetration cluster warhead attacking runway; Airports; Algorithm design and analysis; Analytical models; Clustering algorithms; Fires; Genetic algorithms; Guidelines; Missiles; Monte Carlo methods; Wounds; Monte Carlo simulation; aim-points selection; airport runway; cluster warhead; genetic algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485472
Filename
5485472
Link To Document