Journal of System Simulation
Abstract
Abstract: Optimal deployment of distant support jamming formation is studied for improving penetration capability of air assault group in air offensive operation. The total detection threats of penetration route are chosen as the performance indicator, and the optimal deployment mode of distant support jamming formation is built. The closed region detection method is used to compute fitness value. The difficult problem of computing detection coverage of radar net under jamming condition is solved by using traditional geometry analytic method. A selective directional crossover genetic algorithm is designed to compute the optimal deployment mode. The simulation results show that the algorithm has stronger global searching capability and faster convergence speed than nonlinear crossover genetic algorithm for which the computation performance is better at present.
Recommended Citation
Luo, Jinliang; Jin, Jiacai; Lei, Wang; and Feng, Ding
(2018)
"Optimal Deployment of Distant Support Jamming Formation Based on Directional Crossover Genetic Algorithm,"
Journal of System Simulation: Vol. 30:
Iss.
6, Article 33.
DOI: 10.16182/j.issn1004731x.joss.201806033
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss6/33
First Page
2263
Revised Date
2016-12-26
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201806033
Last Page
2271
CLC
TN972
Recommended Citation
Luo Jinliang, Jin Jiacai, Wang Lei, Ding Feng. Optimal Deployment of Distant Support Jamming Formation Based on Directional Crossover Genetic Algorithm[J]. Journal of System Simulation, 2018, 30(6): 2263-2271.
DOI
10.16182/j.issn1004731x.joss.201806033
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