The integrated defense acoustic self-guided torpedo with deepth charge interception and maneuvering is a new combat style for warship underwater defense. In order to provide reference for the automation of equipment accusation and decision-making in the training method, the Monte Carlo method is used to simulate the operational process, and the estimation of three operational effectiveness indicators such as evasion probability, interception probability and survival probability is obtained. Through the performance analysis, it is proposed how to maneuver the warship to obtain the favorable deepth charge launching situation. A combat decision-making optimization model is established after analyzing the influencing factors and constraints. As an example, the optimization model is solved by the genetic algorithm, and the warship maneuvering routine is obtained by scatter fitting. According to the defensive situation under different torpedo alarm position conditions, the optimization effect of warship maneuvering on warship survival probability is analyzed and compared.