规划多波次导弹发射
Planning in Multi Wave Missile Launching
摘要: 导弹在军事作战中有着举足轻重的地位,机动路线制定显得格外重要。该问题需要充分考虑节点冲突,隐蔽性,以及在转载点处的时间限制,同时考虑临时增加转载地域,规划各台导弹发射装置的行径时间和路线是一个组合优化问题。基于该问题提出了一种基于Dijkstra的全局遍历搜索算法,以总暴露时间最短为目标函数,建立了多波次导弹发射优化模型。结果表明,该研究成果可以为导弹发射时间规划提供有效的工程应用指导。
Abstract: Missiles play an important role in military operations, so it is very important to make mobile routes. In this problem, the node conflict, concealment, and time limit at the transfer point should be fully considered. At the same time, the temporary increase of transfer area should be considered. It is a combinatorial optimization problem to plan the travel time and route of each missile launcher. Based on this problem, a global ergodic search algorithm based on Dijkstra is proposed. Taking the shortest total exposure time as the objective function, a multi wave missile launch optimization model is established. The results show that the research results can provide effective engineering application guidance for missile launch time planning.
文章引用:王红梅. 规划多波次导弹发射[J]. 建模与仿真, 2021, 10(1): 121-127. https://doi.org/10.12677/MOS.2021.101013

参考文献

[1] 郁磊, 史峰. MATLAB 智能算法30个案例分析[M]. 北京: 北京航空航天大学出版社, 2015: 35-44.
[2] 姜启源, 谢金星, 刑文训. 大学数学实验[M]. 北京: 清华大学出版社, 2010: 58-79.
[3] 舒长胜, 孟庆德. 舰炮武器系统应用工程基[M]. 北京: 国防工业社, 2014: 66-90.
[4] 申卯兴, 曹泽阳, 周林. 现代军事运筹[M]. 北京: 国防工业出版社, 2014: 30-46.
[5] 孙飞. 电力系统安全风险评估与脆弱性分析[M]. 武汉: 华中科学, 2009: 44-63.
[6] 靳冰洁, 张步涵, 姚建国. 基于信息熵的大型电力系统元件脆弱性评估[J]. 电力系统自动化, 2015, 5(39): 61-68.
[7] Chen, R.M. and Shen, Y.M. (2015) Novel Encoding and Routing Balance Insertion Based Particle Swarm Optimization with Application to Optimal CVRP Depot Location Determination. Mathematical Problems in Engineering, 1, 1-11. [Google Scholar] [CrossRef
[8] Iqbals, S., Kaykobad, M. and Rahmnn, S. (2015) Solving the Multi-Objective Vehicle Routing Problem with Soft Time Windows with the Help of Bees. Swarm and Evolutionary Computation, 24, 50-64. [Google Scholar] [CrossRef
[9] 季青梅, 辛文芳. 多波次导弹火力打击任务研究[J]. 信息技术与信息化, 2017, 1(2): 122-128.
[10] 宋志华, 张晗, 惠晓滨. 导弹作战行动网络流模型及动态规划算法[J]. 解放军工大学学报, 2017, 1(5): 50-55.
[11] 王梓行, 姜大立. 战时导弹火力打击任务分配与运输决策模型[J]. 后勤工程学院学报, 2017, 33(4): 77-85.
[12] 郁磊, 史峰. MATLAB 智能算法30个案例分析[M]. 北京: 北京航空航天大学出版社, 2015: 35-44.
[13] 姜启源, 谢金星, 刑文训. 大学数学实验[M]. 北京: 清华大学出版社, 2010: 58-79.
[14] 舒长胜, 孟庆德. 舰炮武器系统应用工程基[M]. 北京: 国防工业社, 2014: 66-90.
[15] 申卯兴, 曹泽阳, 周林. 现代军事运筹[M]. 北京: 国防工业出版社, 2014: 30-46.
[16] 孙飞. 电力系统安全风险评估与脆弱性分析[M]. 武汉: 华中科学, 2009: 44-63.
[17] 靳冰洁, 张步涵, 姚建国. 基于信息熵的大型电力系统元件脆弱性评估[J]. 电力系统自动化, 2015, 5(39): 61-68.
[18] Chen, R.M. and Shen, Y.M. (2015) Novel Encoding and Routing Balance Insertion Based Particle Swarm Optimization with Application to Optimal CVRP Depot Location Determination. Mathematical Problems in Engineering, 1, 1-11. [Google Scholar] [CrossRef
[19] Iqbals, S., Kaykobad, M. and Rahmnn, S. (2015) Solving the Multi-Objective Vehicle Routing Problem with Soft Time Windows with the Help of Bees. Swarm and Evolutionary Computation, 24, 50-64. [Google Scholar] [CrossRef
[20] 季青梅, 辛文芳. 多波次导弹火力打击任务研究[J]. 信息技术与信息化, 2017, 1(2): 122-128.
[21] 宋志华, 张晗, 惠晓滨. 导弹作战行动网络流模型及动态规划算法[J]. 解放军工大学学报, 2017, 1(5): 50-55.
[22] 王梓行, 姜大立. 战时导弹火力打击任务分配与运输决策模型[J]. 后勤工程学院学报, 2017, 33(4): 77-85.