Cooperative combat control method, system and device based on GMQN and medium

Abstract

The invention discloses a GMQN-based cooperative combat control method, system and device and a medium, and belongs to the field of optimal scheduling, and the method comprises the steps: obtaining current situation information data, constructing a TSDI combat network, and carrying out the situation evaluation, and obtaining corresponding feature data; inputting the feature data into the GMQN, so that the GMQN forms learnable features influencing input by using node propagation capability, combat mission participation degree, node robustness and node importance in the feature data, and offsets an attention mechanism by using inter-node dependency degree, OODA ring delay and OODA ring reliability in the feature data; calculating an action value Q of each influence node in the TSDI combat network by using the GMQN, wherein the action value Q comprises an I-T pair and an I-idle pair; and performing global optimization on the action value Q by using a KM algorithm to obtain a global optimal Q value combination and generate a corresponding combat target allocation strategy to control each influence node. And the global combat ability of typical combat scenes such as air defense and anti-missile is improved.

Description

technical field [0001] The invention belongs to the field of optimal scheduling, and more particularly, relates to a GMQN-based cooperative combat control method, system, equipment and medium. Background technique [0002] Modern warfare presents the characteristics of networked combat systems, that is, based on the network information system, various combat resources, weapons and equipment, detection equipment, command systems, etc. are integrated and integrated, and various combat elements are connected through the network to form an integrated joint combat system. Various combat entity units and their combat relationships distributed in the battlefield space constitute the combat network of the joint combat system. Therefore, whether the war can be won in the future is no longer determined by the performance of a single combat element, but by the combat capability of the entire combat system. [0003] The traditional weapon-target allocation scheme is usually an artifici...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the defects and improvement needs of the prior art, the present invention provides a GMQN-based cooperative combat control method, system, equipment and medium, the purpose of which is to solve the problem that the traditional weapon-target allocation scheme is difficult to fully consider the global combat information

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