Target Allocation Strategy for Uav Strike Cluster Against the Sea Based on Genetic Algorithm

To address the problem of firepower allocation in the attack of UAV strike clusters against the sea, based on the measurement indicators of UAV strike clusters' decision-making for sea attack, a combat advantage matrix is constructed and an overall advantage function is established. On this basis, considering the optimization strategy of firepower allocation, two indicators, namely the value coefficient and vulnerability coefficient of the target, are introduced. Based on the maximum measurement of the damage effectiveness of anti-ship missiles on the target, a firepower allocation model is constructed. Due to the low real-time performance of traditional genetic algorithms, this method provides a new approach to meet the need for fast optimization.