Research on Task Assignment for Multi-UAV Shore Strike Based on Genetic Algorithms
HE Yingqiang
CHEN Xingjun
ZHOU Jing
WANG Yitao
Abstract：Unmanned aerial vehicles(UAVs)have developed rapidly in the military field,and they can play a role in the on-shore attack tasks.However,the limited amount of missiles on the UAVs can not complete the combat readiness project alone,and often need a variety of UAVs to complete the attack tasks together.In order to maximize the hitting effect,it is necessary to find out the optimal task assignment,and to solve the optimal task assignment problem for heterogeneous unmanned aerial vehicles hitting the target on the shore.This paper uses the genetic algorithm to solve the optimal task assignment scheme.By modeling the task as-signment model on the shore hitting,the fitness function of the genetic algorithm is obtained.Based on the problem that genetic algo-rithm is easy to"premature".In the process of genetic algorithm iteration,the optimal individual genetic number and the probability of variation are adjusted to improve the efficiency of genetic algorithm.Finally,the simulation results show that the improved genetic algorithm can effectively solve the task assignment problem of heterogeneous unmanned aerial vehicles hitting the target on the shore.
Keywords：heterogeneous UAVgenetic algorithmsshore strike task assignmentdynamic adjustment
Publication Date：2023-10-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 32-35,92 )