The invention discloses an airport target firepower
distribution method based on an improved Hemma optimization
algorithm, and belongs to the field of firepower distribution. The method comprises the following steps: firstly, comprehensively considering factors such as
spatial distribution characteristics of an airport, an initial position of a fighter, target characteristics and a
missile-target matching damage effect, constructing a
mathematical model of airport target firepower distribution, introducing firepower resource constraint and damage constraint conditions, and carrying out quantitative evaluation on a firepower distribution scheme through a target function; and a firepower distribution solution is optimized by using the
swarm intelligence behavior of the Hemma optimization
algorithm. In order to improve the performance of the
algorithm, an SPM
chaotic mapping technology is adopted, and an adaptive weight position updating mechanism, a reverse learning strategy and a neighbor dimension cross optimization strategy are introduced. According to the
improved algorithm, the convergence speed of a firepower allocation result can be remarkably increased, and falling into a local optimal solution is effectively avoided, so that efficient allocation of firepower resources is realized in a complex
battlefield environment.