Abstract: Research on weapon-target assignment (WTA) of ground target attacking is very difficult due to a wide variety of targets and weapons. A reasonable WTA scheme is developed to optimize the allocation of limited resources, which brings the maximum battlefield gains with minimum costs. For this reason, a mathematical model is established, and the genetic algorithm is used to resolve the optimal result of weapon-target assignment. But the convergence rate of genetic algorithm is slow and can't even give a feasible solution in solving WTA. A state variable control method is designed to overcome the insufficient of the genetic algorithm. The proposed method can reduce the search space and improve the search efficiency by restraining and controlling the value range of the initial population variables, and ensure the quality of the solution by improving the mutation strategy to expand the value range of the variables. The simulated result shows that the improved genetic algorithm can solve the WTA problem of attacking the ground targets on a large scale effectively.

Key words: ordnance science and technology, weapon-target assignment, damage contribution, genetic algorithm, value range of variables