Unmanned aerial vehicle group defense and deployment method based on genetic algorithm

Abstract

The invention discloses an unmanned aerial vehicle group defense and deployment method based on a genetic algorithm. The method comprises the following steps that: dividing the unmanned aerial vehicleformation of our party into unarmed civil aircrafts and defense aerial vehicles with armed force, and determining to adopt a binary hierarchical coding way to code the unmanned aerial vehicle formation of our party; adding a binary coding sequence used for determining the corresponding serial number of the defense aerial vehicles into the unmanned aerial vehicle formation which finishes being coded; when a fitness function is established, scanning through a genetic algorithm to enable two index values to be as small as possible so as to determine an optimal formation; and therefore, finishingthe unmanned aerial vehicle group defense and deployment. The invention establishes an optimal formation used for protecting the civil aircraft of our party, the flight distance, which is relative tothe flight distance of an enemy aircraft guided missile, of the intercepting missile of the defense aerial vehicle of our party is reduced, harm on the civil aircraft of our party by explosion generated after the guided missile is intercepted can be reduced, the optimal formation of the unarmed civil aircraft of our party under different enemy aircraft formation situations is determined, and thegenetic algorithm is used for accelerating to search the optimal formation so as to guarantee the safety of the civil aircraft of our party.

Description

technical field [0001] The invention is a genetic algorithm-based UAV swarm defense deployment method. Specifically, it is a new algorithm for determining the defensive formation that protects our unarmed drones from interference from other armed drones during the scientific research mission of our country's unarmed drones. It belongs to multi-agent control. technology field. Background technique [0002] Multi-agent refers to the completion of a certain goal by multiple single-agents coordinating with each other according to certain rules. An agent can be an entity such as a robot, a vehicle, and so on. The agent can perceive changes in the external environment with the help of sensors, and act on the environment through effectors. In a certain environment, the behavior and movement of a rational agent needs to be constrained by the following two points: (1) The agent must have a reason to change its existing intention. (2) The agent cannot stick to its existing intenti...

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Problems solved by technology

(2) The agent cannot insist on its existing intentions regardless of environmental changes when its intentions are unrealistic or unimportant

[0004]Current research on air combat formations is mostly limited to the problem of direct confrontation between two air combat formations, but in actual situations, the multi-agent formation may not necessarily be In this case, it is necessary to expand the scope of application of this method

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