战场抢修资源重组决策方法

针对战时抢修资源不满足抢修任务需求时如何进行抢修资源重组决策的问题，首先，通过约束满足问题的方法建立了以总抢修效益最大为目标的抢修资源重组决策数学模型。然后，设计了一种结合基于总消耗率贪婪算法和粒子群算法的混合粒子群算法及相应的操作方案。最后，进行了仿真实验，结果表明了该方法解决抢修资源重组决策问题的有效性。

Battlefield urgent maintenance resource recombination decision making

Aiming at the battlefield urgent maintenance resource recombination decision making when recovery resources supply is unequal to requirement in wartime, firstly the mathematical model based on constraint satisfaction problem of battlefield urgent maintenance resource recombination decision making with maximum total recovery benefit is put forward. The hybrid particle swarm optimization algorithm and operating methods which combine greedy algorithm based on total consuming rate are introduced. The result of simulation shows that the proposed algorithm is feasible to resolve the problem of battlefield urgent maintenance resource recombination decision making.