Improved genetic algorithm for multichannel ship-to-air missile weapon system WTA problem

As a weapon-target assignment problem (WTA), the fire-allocation of multichannel ship-to-air missile weapon system was studied and an optimal target assignment model was established. Aimed at the deficiency dealing with more restricted conditions for standard genetic algorithm, it transformed the restricted optimization problem into the non-restricted one through introducing punishment function. It also has made improvements on the birth of initial colony, individual fitness evaluation, genetic operators so that it came into being an improved genetic algorithm. In the end, an example was put forward, and satisfactory results have been obtained. It showed that the the proposed method can serve as a scientific and effective support for a decision maker in command automation of the multichannel ship-to-air missile weapon system.