Intelligent ammunition co-evolution task assignment method

Patent metadata

Field	Value
Publication number	US-12591786-B2
Application number	US-202217866576-A
Country	US
Kind code	B2
Filing date	Jul 18, 2022
Priority date	Dec 27, 2021
Publication date	Mar 31, 2026
Grant date	Mar 31, 2026

Abstract

An intelligent ammunition co-evolution task assignment method is disclosed. The method includes the following steps. A chromosome gene encoding of genetic algorithm for ammunition assignment scheme of multi-platform interception operation is performed. A fitness of chromosome individual function in a genetic population is calculated according to a threat degree of an intercepting target in the ammunition assignment scheme and an interception probability of the intercepting target by different ammunition launching platforms. A probability ranking sequence of effective interception of the intercepting target by different ammunition launching platforms is obtained, and a genetic algorithm selection operation is performed on the chromosome individuals according to probability values of effective interception in descending order of priority. Crossover and/or mutation are performed on the selected chromosome individuals to obtain a next generation genetic population and the above steps are repeated until termination conditions are met to obtain the final ammunition assignment scheme.

First claim

What is claimed is:

1 . An intelligent ammunition co-evolution task assignment method, comprising:
S1. performing a chromosome gene encoding of genetic algorithm for ammunition assignment scheme of multi-platform interception operation; S2. calculating a fitness of chromosome individual function in a genetic population according to a threat degree of an intercepting target in the ammunition assignment scheme and an interception probability of the intercepting target by different ammunition launching platforms; S3. obtaining a probability ranking sequence of effective interception of the intercepting target by different ammunition launching platforms according to the fitness of the chromosome individual function in the contemporary genetic population, and performing a genetic algorithm selection operation on the chromosome individuals according to probability values of effective interception in descending order of priority; and S4. performing crossover and/or mutation on the chromosome individuals selected in the S3 to obtain a next generation genetic population and repeating the S2 until termination conditions are met to obtain the final ammunition assignment scheme, wherein a fitness calculation method of the chromosome individual function in the genetic population in S2 is as follows:

f
⁡
(
X
)

=

∑

j
=
1

n

f
⁡
(

X
ji

)

=

∑

j
=
1

n

v
j

·

p
ji

wherein v j is the threat degree of the j-th target, and p ji is the interception probability of the i-th fire unit against the j-th target.

2 . The intelligent ammunition co-evolution task assignment method of claim 1 , wherein the S1 comprises: encoding each chromosome as an ammunition assignment scheme, encoding a gene sequence in each chromosome as a target sequence, and encoding a value of each gene in each chromosome as an allocated ammunition launching platform number.

3 . The intelligent ammunition co-evolution task assignment method of claim 1 , wherein the S3 comprises: if an ammunition quantity requirement for a single launching platform is met, selecting an ammunition launching platform corresponding to the maximum probability value of effective interception as a selected contemporary chromosome individual; and if the quantity requirement is not met, selecting an ammunition launching platform with a lower probability value of effective interception as a selected contemporary chromosome individual, and executing downward in the order of priority until the assignment of the ammunition launching platform to the current intercepting target is completed.

Assignees

• Harbin Inst Technology

Inventors

• Bai Yuliang
• Wang Ningyu
• Shan Yongzhi
• Zhang Long
• Xu Liangchen
• Li Yuan
• Ma Xiaodong

Classifications

• F41H11/02

  Anti-aircraft or anti-guided missile {or anti-torpedo} defence installations or systems (cartridges or missiles for producing smoke or for dispensing radar chaff or infrared material F42B5/15, F42B12/48, F42B12/70; {informative reference: details of radar or sonar systems G01S7/00; jamming or electronic countermeasures G01S7/38, G01S7/495, H04K3/00}) · CPC title

• G06N3/126 Primary

  Evolutionary algorithms, e.g. genetic algorithms or genetic programming · CPC title