Systems Engineering and Electronics
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LEI Yu-yao, JIANG Wen-zhi, LIU Li-jia, LIU Tao
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Based on the characteristic of modern air attack and air defense, a model that near and medium distance is ringshaped deployment and fan shaped deployment which is far from the key point is established.Because of different distance from the keypoint, there are different air attack targets.The deployment area is divided into three layers.Considering the fire equality, fire depth, fringe deployment, covering network, and relay guidance factors, a highdimensional objectives function for airdefense weapon system deployment is built.By sorting the value of the sub-objective function, the searching steps are reduced.Then, a sub-objective evolutionary algorithm (SOEA) is put forward and the theoretical feasibility is proved.The performance of the SOEA is better than other high dimensional objectives optimization algorithms.The simulation results of a deployment example show that the SOEA and the high dimensional objectives model is correct and feasible.
LEI Yu-yao, JIANG Wen-zhi, LIU Li-jia, LIU Tao. Weapon system deployment optimization based on a sub-objective evolutionary algorithm for key point air defense[J]. Systems Engineering and Electronics, doi: 10.3969/j.issn.1001-506X.2016.02.12.
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URL: https://www.sys-ele.com/EN/10.3969/j.issn.1001-506X.2016.02.12
https://www.sys-ele.com/EN/Y2016/V38/I2/314