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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.

Active Publication Date: 2017-05-31
NAT UNIV OF DEFENSE TECH
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AI Technical Summary

Problems solved by technology

However, the classic ant colony algorithm still has shortcomings such as lack of pheromone in the early stage, easy to fall into local optimum, and slow convergence for large space problems, so it cannot be directly applied to air combat firepower allocation.

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  • Ant colony algorithm-based firepower distribution method
  • Ant colony algorithm-based firepower distribution method
  • Ant colony algorithm-based firepower distribution method

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Embodiment Construction

[0088] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0089] A fire distribution method based on ant colony algorithm, comprising the following steps:

[0090] The first step is to establish an air combat fire distribution model, including an air combat threat model and a fire distribution decision model.

[0091] First, assess the threat of the blue fighters to the red fighters. Based on this, aim at maximizing the expected strike effect on the blue fighters and minimizing the threat to the red fighters, and distribute firepower.

[0092] Let N fighters of the red team and K fighters of the blue team conduct an air combat confrontation, in which the fighters of the red team and the blue team have different performances such as speed, missile attack range, radar detection range, maneuvera...

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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.

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...

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Application Information

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IPC IPC(8): G06Q10/04G06N3/00
CPCG06N3/006G06Q10/04
Inventor 罗鹏程胡鑫武谢俊洁金光何肇雄
Owner NAT UNIV OF DEFENSE TECH
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