DocumentCode :
3742554
Title :
Processing combat information with Shannon entropy and improved genetic algorithm
Author :
Songyun Guo;Mingming Yan;Yanping Yang
Author_Institution :
Command Department of Coastal Defense Artilleries, Shenyang Artillery Academy, Shenyang, China
fYear :
2015
Firstpage :
857
Lastpage :
861
Abstract :
On the basis of giving a description of Shannon entropy and the improved genetic algorithm, this paper presents a combat information processing method which is based on Shannon entropy and the improved genetic algorithm. This method uses Shannon entropy to make uncertainty measurement for combat information and uses genetic algorithm to calculate, reduce and solve complex problems, which is very effective in processing combat information. The example analyzes and verifies the correctness of this method.
Keywords :
"Entropy","Genetic algorithms","Biological cells","Uncertainty","Measurement uncertainty","Genetics","Probability distribution"
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2015 8th International Conference on
Type :
conf
DOI :
10.1109/BMEI.2015.7401622
Filename :
7401622
Link To Document :
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