Multi-targets Assignment Method Based on Fuzzy Evaluation and Improved Particle Swarm Algorithm

Research on intelligent decision-making methods is carried out focus on complex situations such as multiple participants, multiple influencing factors, and large uncertainties in multi targets and multi interceptors combat scenarios. Various interception strategies are coded based on discrete particle swarm algorithm. Combining with fuzzy analytic hierarchy process, various uncertain factors in multi to multi scenarios are comprehensively considered so as to get a typical combat strategy evaluation index function. Then an intelligent multi-target allocation strategy can be obtained and rapid decision-making in a dynamic situation can be realized. On this basis, coordinated operations are carried out to complete effective interception of multiple targets. Simulation results show that the intelligent decision-making strategy designed in this paper can make rapid decisions based on the real-time motion state of the interceptors and the targets, which shortens the interceptions time and enables the interceptors to have a greater advantage in the process of carrying out the interception mission. When some interceptors fail, remained interceptors can be reassigned by intelligent decision-making method so as to ensure the completion of the interception task.