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Dynamic fire allocation method based on DDE improved bat algorithm

A firepower distribution, bat algorithm technology, applied in computing, computing models, instruments, etc., can solve the problem that the algorithm is easy to fall into local extreme points and so on

Active Publication Date: 2018-08-17
DALIAN UNIV
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Problems solved by technology

However, BA also has shortcomings. For example, the algorithm is easy to fall into local extreme points, and the model fitness value of the fire distribution problem solved by it will enter the convergence state prematurely, which is commonly known as the "premature" phenomenon.

Method used

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  • Dynamic fire allocation method based on DDE improved bat algorithm
  • Dynamic fire allocation method based on DDE improved bat algorithm
  • Dynamic fire allocation method based on DDE improved bat algorithm

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Embodiment Construction

[0053] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0054] This embodiment analyzes the effectiveness and performance of the dynamic firepower distribution method based on the DDE improved bat algorithm proposed by the present invention, using different algorithms to solve the case data of the same scale, including the basic bat algorithm, the basic genetic algorithm and the improved Particle swarm algorithm, by comparing the target value of the solution obtained by the above-mentioned several algorithms and the time taken to reach the convergence state, the effectiveness of the method proposed by the present invention is illustrated.

[0055] attached figure 1 Schematic diagram of the bat structure. Before using the improved bat algorithm based on DDE to solve the firepower distribution problem,...

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Abstract

The invention discloses a dynamic fire allocation method based on a DDE improved bat algorithm. A dynamic fire allocation model is determined and then generation of the individual bat is initialized by softening certain constraint conditions, and then the differential variation mechanism of the dynamic differential evolution algorithm is fused into the bat algorithm so as to optimize the convergence accuracy and the convergence rate of the dynamic fire allocation problem solution and provide the better auxiliary combat decision for the commander.

Description

technical field [0001] The invention belongs to the technical field of military command and control auxiliary decision-making applications, in particular to a dynamic firepower distribution method based on DDE improved bat algorithm. Background technique [0002] Firepower assignment belongs to Weapon Target Assignment (WTA) problem, and it is an important topic in the research of command and control auxiliary decision-making system. The WTA problem generally refers to assigning weapons to the corresponding targets according to certain allocation criteria in a complex and changeable multi-weapon and multi-target battlefield environment in order to obtain the best combat effect. Deterministic polynomial complete problems. The dynamic weapon target assignment (Dynamic Weapon Target Assignment, DWTA) problem needs to consider the constraints of space and time. It is a multi-stage assignment problem. The results of each stage are evaluated, and then the next stage is assigned b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G06Q10/06
CPCG06N3/006G06Q10/0631
Inventor 邱少明胡宏章杜秀丽吕亚娜
Owner DALIAN UNIV
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