兵工自动化
兵工自動化
병공자동화
Ordnance Industry Automation
2015年
9期
78-82,96
,共6页
油料伴随补给规划%补给策略%离散粒子群算法
油料伴隨補給規劃%補給策略%離散粒子群算法
유료반수보급규화%보급책략%리산입자군산법
oil with replenishment planning%supply strategy%discrete particle swarm optimization algorithm
基于航母编队油料伴随补给规划问题，提出作战背景下补给舰船的3种补给策略。根据合理假设，将解决TSP问题的指导思想加以改进并应用于补给规划问题中。以最小化补给时间和最大化作战效能为目标函数，分别构建补给规划模型，通过Matlab软件，利用改进的多目标离散粒子群算法对问题进行求解，并进行仿真实验验证。仿真结果表明：该方法是合理、有效的，能获得更小的补给时间和更大的编队作战效能，较好地实现航母编队油料伴随补给规划问题的优化。
基于航母編隊油料伴隨補給規劃問題，提齣作戰揹景下補給艦船的3種補給策略。根據閤理假設，將解決TSP問題的指導思想加以改進併應用于補給規劃問題中。以最小化補給時間和最大化作戰效能為目標函數，分彆構建補給規劃模型，通過Matlab軟件，利用改進的多目標離散粒子群算法對問題進行求解，併進行倣真實驗驗證。倣真結果錶明：該方法是閤理、有效的，能穫得更小的補給時間和更大的編隊作戰效能，較好地實現航母編隊油料伴隨補給規劃問題的優化。
기우항모편대유료반수보급규화문제，제출작전배경하보급함선적3충보급책략。근거합리가설，장해결TSP문제적지도사상가이개진병응용우보급규화문제중。이최소화보급시간화최대화작전효능위목표함수，분별구건보급규화모형，통과Matlab연건，이용개진적다목표리산입자군산법대문제진행구해，병진행방진실험험증。방진결과표명：해방법시합리、유효적，능획득경소적보급시간화경대적편대작전효능，교호지실현항모편대유료반수보급규화문제적우화。
Based on the planning problem of accompanied oil supply in the formation of aircraft carrier, put forwards three kinds of replenishment strategy under the background of ship combat supplies. According to reasonable assumptions, the guiding ideology to solve the TSP problem is improved and applied to the supply planning problem. Taking minimize supply time and maximum effectiveness as the objective function, supply planning model were constructed by Matlab software, to solve the problem by using the multi-objective improved discrete particle swarm algorithm, and the simulation experiment. Results show that the method is reasonable and effective which can get a smaller supply time and greater formation combat effectiveness, optimization of aircraft carrier formation with better fuel supply planning problem.
