Abstract:

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.