舰船电子工程2023，Vol.43Issue(10)：32-35,92,5.DOI:10.3969/j.issn.1672-9730.2023.10.008
基于遗传算法的多无人机对岸打击任务分配研究
Research on Task Assignment for Multi-UAV Shore Strike Based on Genetic Algorithms
何应强 1陈行军 1周晶 1王义涛1
作者信息
- 1. 海军大连舰艇学院作战软件与仿真研究所 大连 116018
- 折叠
摘要
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.关键词
异构无人机/遗传算法/对岸打击任务分配/动态调整Key words
heterogeneous UAV/genetic algorithms/shore strike task assignment/dynamic adjustment分类
信息技术与安全科学引用本文复制引用
何应强,陈行军,周晶,王义涛..基于遗传算法的多无人机对岸打击任务分配研究[J].舰船电子工程,2023,43(10):32-35,92,5.
