Abstract:

The higher validity is required in current wars for conventional missile fire assignment (CMFA). Considering the properties of conventional missiles, such as viability and penetrability, the dynamic CMFA model based on timespace restriction is proposed, which is restricted by damage lower bound. Genetic algorithm (GA) is good macroscopically, while tabu search (TS) is good at looking for the best result microcosmically. By combining them, a new algorithm is constructed and used to CMFA, which improves the velocity in solving problems. Simulation results show that this method could get the best solution more quickly, and the fire assignment fits with the war field well, which indicate that the model is effective and the algorithm is feasible.