NDLI: Optimization of firepower allocation for antiaircraft system based on immune genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Chen Chen Jie Chen Juan Zhang Gaopeng Wang
Copyright Year	2008
Description	Author affiliation: Dept. of Autom. Control, Beijing Inst. of Technol., Beijing (Chen Chen; Jie Chen; Juan Zhang; Gaopeng Wang)
Abstract	In the research of antiaircraft system, how to make full use of the firepower units and cause maximum damage to enemy targets, is a key problem of firepower allocation. Based on the characteristics of the antiaircraft system, the description of firepower allocation for antiaircraft system is presented and the mathematical model is established. The calculational method of threaten estimation is given. Research on optimization of firepower allocation is carried out by using a kind of genetic algorithms based on immune theory. Based on the global searching ability of basic genetic algorithm, vaccine obtaining and inoculation are employed in local optimization of solutions in order to avoid the algorithm on low searching efficiency. The numerical simulations are provided for the method, and then the logicality and feasibility of the method are proved.
Starting Page	3145
Ending Page	3149
File Size	255909
Page Count	5
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4593424
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resource management Manganese Fires Genetic algorithms Optimization Estimation Computational modeling optimization firepower allocation threaten estimation immune genetic algorithm
Content Type	Text
Resource Type	Article

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