A Collaborative Planning System for Multi Element and Multi Objective Weapon Equipment
With the rapid development of information technology,the form of war in the future will face great changes and joint operations will become the main form.Collaborative planning of weapons and equipment in joint operations requires real-time collaborative planning according to battlefield situation to achieve the optimal or suboptimal weapons and equipment scheduling scheme and path planning scheme.However,the traditional algorithm has some disadvantages,such as large consumption of com-puting resources,difficulty in achieving global optimal solution,and inability to adapt to dynamic environment.In order to solve the above problems,a weapon scheduling algorithm based on SAC and a global path planning algorithm based on attention mechanism are proposed.By utilizing the feature fitting ability of attention mechanism,the end-to-end output ability of neural network and the adaptability of reinforcement learning to the environment,the shortcomings of traditional algorithms such as low planning efficien-cy,local optimal trap and poor adaptability are solved.A complete set of collaborative planning and decision-making systems for weapons and equipment has been formed.The final experimental results show that the weapon and equipment collaboration algo-rithm is superior to the traditional algorithm in terms of planning effect and efficiency,and has practical application value.
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