NDLI: The application of alterable parameter genetic algorithm in optimum firepower distribution for caboodle of air defense force

Content Provider	IEEE Xplore Digital Library
Author	Wang Yunfeng Pan Wei Diao Huazong Wang Dezhi
Copyright Year	2011
Description	Author affiliation: Electric Detection Department, Shenyang Artillery Academy, Shenyang 110867, China (Wang Yunfeng; Pan Wei; Diao Huazong; Wang Dezhi)
Abstract	Optimum firepower distribution model for caboodle of air defense force based on genetic algorithm is established by using the battlefield object value and air defense firepower distribution. The model can exert the highest point of firepower unit efficiency of weapon and realize the most damage effect. The steps includes adopting real number to code, creating original community through building chromosome; calculating the degree of adaptation, checking out the original community; manipulating the inherit algorithm operators and ameliorating the manipulation of election, chiasma, variation and so on. At last, calculate the optimum selection and find out the optimum select of distributive project. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation.
Starting Page	1269
Ending Page	1272
File Size	271692
Page Count	4
File Format	PDF
ISBN	9781424487370
e-ISBN	9781424487387
DOI	10.1109/CCDC.2011.5968384
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atmospheric modeling Force Communities Fires Evolutionary computation Alterable Parameter Genetic algorithm Caboodle of air defense force Optimum firepower crossover probability Electronic mail mutation probability Genetic algorithms
Content Type	Text
Resource Type	Article

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