多需求分布下特装器材随舰配置多目标优化研究  

Multi-objective optimization configuration on warship for special equipment materials with multiple demand distributions

作　　者：董琪[1] 徐廷学[1] 赵建忠[1] 杨继坤[2] 

机构地区：[1]海军航空工程学院兵器科学与技术系 [2]中国人民解放军92493部队

出　　处：《系统工程与电子技术》2017年第2期335-339,共5页Systems Engineering and Electronics

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。Focusing on the problem that the current research assuming single life distribution, the multiobjective optimization configuration model on warship based on multiple demand distribution is presented. According to renewal theory, the fill rate model of exponential, weibull and normal distribution are established respectively, and then the fill rate model for system is established. Combined with the cost objective, the multiobjective optimization configuration model for fill rate and cost is established with volume and mass of special equipment materials as constraints. The technique for order preference by similarity to ideal solution （TOPSIS） method is introduced in identifying nearness of allocation plan, and it is also fitness function of the genetic algo- rithm. The optimal allocation plan is obtained, and the relationships between objectives and constraints are analyzed. The result shows the model and algorithm＇s convenience and applicability in materials optimization of complex equipment, which offers a new idea for synthesis decision of special equipment materials allocation.

关 键 词：特装器材 多目标优化 逼近理想解排序法 遗传算法 配置 

分 类 号：U674.7[交通运输工程—船舶及航道工程]