多需求分布下特装器材随舰配置多目标优化研究
发布时间:2019-07-30 12:34
【摘要】:针对目前随舰特装器材配置研究仅以单一故障分布为假设,难以满足实际情况的问题,提出了基于多需求分布的特装器材随舰配置多目标优化模型,根据更新理论,分别构建了指数、Weibull、正态分布的保障概率模型,并综合建立了系统保障概率模型。结合费用目标,以特装器材的体积和质量作为约束条件,建立了基于保障概率和配置费用的多目标多约束优化模型。通过引入逼近理想解排序(technique for order preference by similarity to ideal solution,TOPSIS)法确定各配置方案的贴近度,作为遗传算法求解的适应度函数,得到了特装器材随舰配置最优方案,分析了目标之间、目标与约束条件之间的关系。算例结果表明,该模型和算法对于解决复杂装备的特装器材优化配置问题具有应用方便、性能良好的优点,为特装器材配置综合决策提供了新的思路。
[Abstract]:In order to solve the problem that the configuration of special equipment with ships is only based on a single fault distribution, which is difficult to meet the actual situation, a multi-objective optimization model based on multi-demand distribution is proposed. According to the updating theory, the guarantee probability models of exponential and Weibull, normal distribution are constructed respectively, and the system support probability model is established synthetically. Combined with the cost target, taking the volume and mass of the special equipment as the constraint conditions, a multi-objective and multi-constraint optimization model based on guarantee probability and configuration cost is established. By introducing the approximate ideal solution ranking (technique for order preference by similarity to ideal solution,TOPSIS) method to determine the closeness of each configuration scheme, as the fitness function of genetic algorithm, the optimal scheme of special equipment with ship configuration is obtained, and the relationship between the target and the constraint condition is analyzed. The results of numerical examples show that the model and algorithm have the advantages of convenient application and good performance for solving the problem of optimal configuration of special equipment, and provide a new idea for the comprehensive decision of special equipment configuration.
【作者单位】: 海军航空工程学院兵器科学与技术系;中国人民解放军92493部队;
【分类号】:U674.703;TP18
[Abstract]:In order to solve the problem that the configuration of special equipment with ships is only based on a single fault distribution, which is difficult to meet the actual situation, a multi-objective optimization model based on multi-demand distribution is proposed. According to the updating theory, the guarantee probability models of exponential and Weibull, normal distribution are constructed respectively, and the system support probability model is established synthetically. Combined with the cost target, taking the volume and mass of the special equipment as the constraint conditions, a multi-objective and multi-constraint optimization model based on guarantee probability and configuration cost is established. By introducing the approximate ideal solution ranking (technique for order preference by similarity to ideal solution,TOPSIS) method to determine the closeness of each configuration scheme, as the fitness function of genetic algorithm, the optimal scheme of special equipment with ship configuration is obtained, and the relationship between the target and the constraint condition is analyzed. The results of numerical examples show that the model and algorithm have the advantages of convenient application and good performance for solving the problem of optimal configuration of special equipment, and provide a new idea for the comprehensive decision of special equipment configuration.
【作者单位】: 海军航空工程学院兵器科学与技术系;中国人民解放军92493部队;
【分类号】:U674.703;TP18
【参考文献】
相关期刊论文 前9条
1 林国宝;黄照协;王齐;;基于保障概率的初始备件需求预测方法研究[J];计算机与数字工程;2015年02期
2 费广玉;张志华;刘军;应新雅;;舰船随舰备件配置方法[J];指挥控制与仿真;2014年03期
3 刘彬;张仁津;;基于动态多粒子群的多目标优化算法[J];计算机应用;2013年12期
4 刘勇;盖强;赵,
本文编号:2520893
本文链接:https://www.wllwen.com/kejilunwen/zidonghuakongzhilunwen/2520893.html