Aerial magnetic detector search path optimization method based on genetic algorithm

A search path and genetic algorithm technology, applied in genetic laws, calculations, genetic models, etc., can solve the problems of large search time waste, low search probability, low cumulative detection probability, etc., and achieve efficient search, low search probability, and scope of action. small effect

Pending Publication Date: 2021-07-16
BEIJING JUN MAO GUO XING TECH CO LTD
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Problems solved by technology

[0006] In order to solve the defects of low cumulative detection probability in the random search method, low search target efficiency in the traditional formation search method, large search time waste and low search probability in the spiral search algorithm, the present invention proposes a genetic algorithm-based Search path optimization method for airborne magnetic detector

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  • Aerial magnetic detector search path optimization method based on genetic algorithm
  • Aerial magnetic detector search path optimization method based on genetic algorithm
  • Aerial magnetic detector search path optimization method based on genetic algorithm

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example

[0144] This example uses the above method, first set the simulation parameters, specifically: the crossover probability P c =0.8, mutation probability P m =0.2, the maximum evolution algebra g max =100, the population size Ng=100, the initial population is generated by expanding square search formation (20%), parallel heading search formation (5%) and random search (75%). The speed and course of the submarine target change randomly, the speed of the submarine target obeys the Rayleigh distribution, the course angle is uniformly distributed between [0,2π), the initial position of the submarine target is (50,50) km, the economic speed of the submarine target is 10kn, and the seabed target The maximum speed of the target is 20kn, the delay of the aircraft equipped with the aeromagnetic detector is 0.2h, the search time is 1h, and the number of simulations for calculating the cumulative detection probability by the MC method is 3000 times.

[0145] According to the basic steps o...

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Abstract

The invention discloses an aviation magnetic finder search path optimization method based on a genetic algorithm, and the method mainly comprises the steps: 1, inputting a search path population into a computer, and carrying out the initialization of the search path population; 2, calculating the fitness of all search paths in the current evolution generation, and carrying out descending sort on the fitness; 3, performing crossover operation; 4, performing a mutation operation; 5, repeatedly executing the steps 2-4 for each next generation, and outputting a search path result with the maximum fitness as an optimal search path. Compared with an existing method, the method can quickly and adaptively obtain the optimal search path according to the characteristics of prior information of different marine environments, targets and magnetic detectors.

Description

technical field [0001] The invention relates to a search path optimization method, in particular to a genetic algorithm-based search path optimization method for an airborne magnetic detector. Background technique [0002] The aerial magnetic detector has the advantages of fast speed (much faster than the speed of the searched target), fast response, good maneuverability, unaffected by sea area terrain, unaffected by seawater medium, and concealed security. However, the main disadvantage of this kind of airborne magnetic detector is that the detection width is small, which is determined by the characteristics of the physical field. The existing airborne magnetic detector finds the target distance is usually less than 1km. Therefore, it is difficult to completely cover the mission area within a limited time. [0003] Due to the small range of the aeromagnetic detector, the aeromagnetic detector is used as an auxiliary device for searching for submarine targets. When other de...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/12
CPCG06N3/126G06Q10/047
Inventor 王豪
Owner BEIJING JUN MAO GUO XING TECH CO LTD
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