系统工程与电子技术
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雷宇曜, 姜文志, 刘立佳, 刘涛
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LEI Yu-yao, JIANG Wen-zhi, LIU Li-jia, LIU Tao
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摘要:
针对现代空袭、防空特点,提出要地防空远程扇形,中程、近程环形的部署方案。根据距要地不同距离范围空袭目标的特点和各型武器的性能,对部署范围进行划分。建立考虑均匀性、纵深性、靠前部署、相互掩护以及接力制导目标的高维多目标优化函数模型。从缩小搜索空间入手,在理论上证明了通过子目标函数值排序进行Pareto最优解求取的可行性,提出了子目标进化算法。同目前的高维多目标优化问题求解算法相比,显示出一定的优势。通过一个具体的部署算例,验证了所提出算法和建立的高维多目标优化模型的正确性和可行性。
Abstract:
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.
雷宇曜, 姜文志, 刘立佳, 刘涛. 基于子目标进化算法的要地防空武器系统优化部署[J]. 系统工程与电子技术, doi: 10.3969/j.issn.1001-506X.2016.02.12.
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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https://www.sys-ele.com/CN/Y2016/V38/I2/314