A Method for Behavioral Optimization of Combat Simulation Models
The decision-making of entity model in combat simulation relies on behavioral rules,in order to solve such problems as difficult construction of combat behavioral rules and incomplete jud-gement of existing rule conditions,a method of behavioral optimization of combat simulation model is proposed.Aiming at the fuzzy and uncertain characteristics of battlefield situation,the decision-making framework of combat simulation model is constructed,and the decision-making module based on the fuzzy inference system is built with the behavioral rule base as the core,the genetic algorithm is im-proved,and the optimization of the behavioral rule base is realized with the help of the training in the environment of combat simulation.Finally,the feasibility and effectiveness of the proposed method are proved by experimental analysis.
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维普
