当前位置:主页 > 科技论文 > 自动化论文 >

基于模糊遗传的联合作战目标组合选择方法

发布时间:2018-08-15 11:26
【摘要】:信息化条件下联合作战目标和火力决策,需要借助智能模型和优化方法,实现多军兵种作战火力的协作与融合。针对联合作战目标决策和火力配置问题,以实现达成总体目标的最大实现和火力的最优发挥为双目标,构建模糊多目标的规划模型。在模型求解算法上,运用可能性理论对模糊数进行转化,将模型转换为确定形式的多目标规划模型,设计多目标遗传算法优化处理,提高算法的效率。并通过实例数据对构建的模型及设计的求解方法进行验证,得出双目标的帕累托最优集。
[Abstract]:Under the condition of information technology, the cooperation and fusion of combat firepower of multi-services and arms should be realized by means of intelligent model and optimization method. Aiming at the problem of joint operation target decision and firepower disposition, a fuzzy multi-objective planning model is constructed to achieve the maximum goal and maximize firepower. In the algorithm of model solving, the fuzzy number is transformed by possibility theory, the model is transformed into a multi-objective programming model with definite form, and the optimization of multi-objective genetic algorithm is designed to improve the efficiency of the algorithm. The Pareto optimal set with two targets is obtained by validating the model and the solution method of the design through the example data.
【作者单位】: 国防大学信息作战与指挥训练教研部;
【基金】:国家自然科学基金(71401168)
【分类号】:E11;TP18


本文编号:2184059

资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/zidonghuakongzhilunwen/2184059.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户87cb1***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com