【摘要】：針對目前隨艦特裝器材配置研究僅以單一故障分布為假設(shè),難以滿足實際情況的問題,提出了基于多需求分布的特裝器材隨艦配置多目標(biāo)優(yōu)化模型,根據(jù)更新理論,分別構(gòu)建了指數(shù)、Weibull、正態(tài)分布的保障概率模型,并綜合建立了系統(tǒng)保障概率模型。結(jié)合費用目標(biāo),以特裝器材的體積和質(zhì)量作為約束條件,建立了基于保障概率和配置費用的多目標(biāo)多約束優(yōu)化模型。通過引入逼近理想解排序(technique for order preference by similarity to ideal solution,TOPSIS)法確定各配置方案的貼近度,作為遺傳算法求解的適應(yīng)度函數(shù),得到了特裝器材隨艦配置最優(yōu)方案,分析了目標(biāo)之間、目標(biāo)與約束條件之間的關(guān)系。算例結(jié)果表明,該模型和算法對于解決復(fù)雜裝備的特裝器材優(yōu)化配置問題具有應(yīng)用方便、性能良好的優(yōu)點,為特裝器材配置綜合決策提供了新的思路。
[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.
【作者單位】： 海軍航空工程學(xué)院兵器科學(xué)與技術(shù)系;中國人民解放軍92493部隊;
【分類號】：U674.703;TP18

【參考文獻(xiàn)】

相關(guān)期刊論文 前9條

1 林國寶;黃照協(xié);王齊;;基于保障概率的初始備件需求預(yù)測方法研究[J];計算機與數(shù)字工程;2015年02期

2 費廣玉;張志華;劉軍;應(yīng)新雅;;艦船隨艦備件配置方法[J];指揮控制與仿真;2014年03期

3 劉彬;張仁津;;基于動態(tài)多粒子群的多目標(biāo)優(yōu)化算法[J];計算機應(yīng)用;2013年12期

4 劉勇;蓋強;趙，

本文編號：2520893