Research And Design Of Decision Simulation Based On Combat Path Planning And Fire Distribution

In the current combat information conditions,the use of combat-aided decisionmaking simulation system is one of the main ways to cooperate with the commanders in combat.Traditional auxiliary decision-making models have scattered functions,insufficient credibility,lack of supervision and other problems,and research on auxiliary decision-making combat simulation systems can better solve the difficulties of difficult construction of the combat environment and the difficulty of timely feedback of combat effects.Therefore,the design of a reasonable combat intelligence auxiliary decisionmaking system plays an important role in the command decision of the combatant.Two important aspects of the auxiliary decision-making system,combat path planning and firepower allocation,are studied in depth.First,the current research status of the two important areas is described,and the research of relevant intelligent algorithms in the field of auxiliary decision making is introduced;second,a path planning algorithm based on enemy intent recognition is proposed for the combat path planning problem of intercepting enemy travel under the path network model;finally,an optimization algorithm based on improved Harris Hawk is proposed and applied to the fire allocation problem to meet our operational firepower allocation requirements,and its main research contents are as follows:(1)According to the actual operational requirements,combined with the path prediction problem model of the enemy’s operational maneuver intention,first,a planning model based on the lowest time cost of the travel path is proposed;after that,a path optimization algorithm based on the 2-opt improved snake algorithm is proposed for the problem model;finally,the advantages of the algorithm in the problem model are verified through simulation experiments.(2)A hybrid optimization algorithm for fire Assignment based on simulated annealing and improved Harris Hawk optimization algorithm is given according to the fire Assignment problem of tanks.Firstly,the idea of simulated annealing is used to optimize the improved Harris Hawk algorithm;secondly,by the idea of elite strategy,an elite constraint strategy is proposed to improve the convergence speed of the algorithm in solving the firepower Assignment problem;finally,an Assignment model for combat firepower Assignment is constructed,and the advantages and feasibility of the optimization algorithm proposed in this thesis for the firepower Assignment problem are compared and verified through experimental simulations.(3)An intelligent auxiliary decision simulation system for path planning and combat fire Assignment based on enemy intent recognition is designed.The hybrid algorithm of path planning based on path intention recognition and snake algorithm and the hybrid algorithm based on simulated annealing and improved Harris Hawk are applied to the simulation system.