Cooperative multi-aircraft target distribution method based on hybrid optimization algorithm

A technology of target allocation and optimization algorithm, applied in the direction of instruments, calculations, calculation models, etc., can solve the problems of reduced efficiency, infeasibility, and denial of path planning of allocation schemes

Active Publication Date: 2013-11-27
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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Problems solved by technology

[0008] 1) Since the allocation strategy itself has not been improved, the allocation scheme obtained simply by taking the task cost as the optimization goal has poor ability to adapt to environmental changes
At the same time, on the modern battlefield, it is necessary to deal with the rapidly changing battlefield situation. Changes in

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  • Cooperative multi-aircraft target distribution method based on hybrid optimization algorithm
  • Cooperative multi-aircraft target distribution method based on hybrid optimization algorithm
  • Cooperative multi-aircraft target distribution method based on hybrid optimization algorithm

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[0078] Combine figure 1 , The multi-aircraft cooperative target allocation method based on the hybrid optimization algorithm of the present invention, the steps are as follows:

[0079] 1) Collect the flight fuel consumption and flight time length of our aircraft, the specific steps are as follows figure 2 Shown.

[0080] 21) Using dynamic programming method to optimize trajectory: Taking the minimum fuel consumption of our aircraft as the performance index, using dynamic programming method to optimize the flight trajectory of our iith aircraft to the enemy's jjth aircraft, ii=1 ,2,...,m,jj=1,2,...,n, m is the number of our aircraft, n is the number of enemy aircraft; for example: the number of our aircraft: m=6, the number of enemy aircraft : N=12. The specific steps are as image 3 Shown.

[0081] 31) Establish grid coordinate system: In Cartesian Cartesian coordinate system o-xyz, establish a grid coordinate system according to the starting point and target point of our aircra...

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Abstract

The invention provides a cooperative multi-aircraft target distribution method based on a hybrid optimization algorithm. The method comprises the following steps that (11) flying fuel consumption and flying time and length of each Chinese aircraft are collected; (12) a fitness function in a discrete particle swarm optimization is built; (13) target distribution is conducted on the Chinese aircrafts according to the discrete particle swarm optimization. The cooperative multi-aircraft target distribution method based on the hybrid optimization algorithm can cope with battlefield situations constantly changing and quickly determine target distribution schemes, and guarantees real-time performance of the hybrid optimization algorithm; meanwhile, the distribution schemes can be consistent with the reality and be verified in the follow-up path planning process, and guarantee applicability of the algorithm.

Description

technical field [0001] The invention relates to the field of computer aided air combat and electronic simulated air combat, in particular to a multi-aircraft cooperative target allocation method based on a hybrid optimization algorithm. Background technique [0002] The target allocation algorithm is one of the key technologies for multi-aircraft cooperative operations. It is mainly based on the battlefield situation to rationally allocate enemy targets and effectively improve the overall combat effectiveness of the battlefield. Target assignment is a complex combinatorial optimization problem with numerous constraints, and its solution space grows geometrically with the increase of the total number of weapons and tasks, making it a multi-parameter, multi-constraint NP problem. [0003] The traditional solution method is to simplify the target allocation problem into a mathematical programming model, and then use exhaustive method, dynamic programming, branch and bound and o...

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Application Information

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IPC IPC(8): G06Q10/04G06N3/00G06F17/50
Inventor 黄国强高健李友江
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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