Ant colony algorithm-based firepower distribution method

A technology of firepower distribution and ant colony algorithm, applied in computing, computing models, instruments, etc., can solve problems such as lack of pheromones, slow convergence of large space problems, etc.
CN106779210AActive Publication Date: 2017-05-31NAT UNIV OF DEFENSE TECH
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
NAT UNIV OF DEFENSE TECH
Publication Date
2017-05-31

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Abstract

The invention discloses an ant colony algorithm-based firepower distribution method. The method comprises the steps of firstly building an air combat threat degree model and a firepower distribution decision model according to a fight situation of both sides; and secondly, in the aspect of model solving, performing algorithm improvement for deficiencies of a typical ant colony algorithm: improving the ant colony algorithm in combination with thoughts of typical ant colony system and max-min ant colony system algorithms, so that the improved ant colony algorithm is more reasonable in early evolution trend and higher in convergence speed, and can be better prevented from falling into local optimum. The improved ant colony algorithm proposed for firepower distribution not only can be used for firepower distribution of an air combat but also can be expected to be used for other combination optimization problems such as decision problems of firepower distribution and the like in an attack battle of ground tank groups and a maritime warship formation combat.
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Description

technical field

[0001] The invention belongs to the technical field of fighter fire control, in particular to a fire distribution method based on an ant colony algorithm. Background technique

[0002] Weapon-target Assignment (WTA) in air combat refers to assigning a certain number of missiles of a certain type on our side based on comprehensive consideration of the combat missions performed, the air combat situation, and the performance of fighter jets and missiles of both the enemy and the enemy. The process of giving each fighter plane of the enemy. The air combat situation is changing rapidly, requiring a fast and optimized firepower distribution plan. However, firepower allocation is a dynamic multivariable and multiconstrained combinatorial optimization problem, which has the characteristics of adversariality, initiative, and uncertainty, and is difficult to solve by traditional methods. In recent years, artificial intelligence (AI), expert system (ES), artificial ne...

Claims

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