An artificial immune system model for intelligent agents
In the research of antiaircraft system, how to make full use of the firepower units and cause maximum damage to enemy targets, is a key problem of firepower allocation. Based on the characteristics of the antiaircraft system, the description of firepower allocation for antiaircraft system is presented and the mathematical model is established. The calculational method of threaten estimation is given. Research on optimization of firepower allocation is carried out by using a kind of genetic algorithms based on immune theory. Based on the global searching ability of basic genetic algorithm, vaccine obtaining and inoculation are employed in local optimization of solutions in order to avoid the algorithm on low searching efficiency. The numerical simulations are provided for the method, and then the logicality and feasibility of the method are proved.