数码设计Issue(21)：68-70,3.
基于粒子群算法的货运无人机任务分配研究
Research on Cargo UAV Task Allocation Based on Particle Swarm Algorithm
肖岩平 1程立鸿 1孙晖1
作者信息
- 1. 军事科学院系统工程研究院, 北京 100071
- 折叠
摘要
Abstract
How to select the optimal cargo drone among potential cargo drones and effectively dock with the logistics transportation task is an important link to improve the utilization efficiency of logistics cargo drones and efficiently complete the task allocation of logistics and freight transport.In this paper,we will utilize the particle swarm algorithm,through the effective construction of learning coefficients,weight coefficients,and adaptability function,and through the construction of particles with the object of the task allocation scheme of the cargo drones.The particle swarm algorithm is used to optimize the task allocation scheme corresponding to each particle to achieve the optimal match between the cargo UAV and the target task,in order to achieve the goal of effectively improving the efficiency of cargo UAV task allocation.关键词
货运无人机/粒子群算法/任务分配Key words
cargo UAV/particle swarm algorithm/task allocation分类
航空航天引用本文复制引用
肖岩平,程立鸿,孙晖..基于粒子群算法的货运无人机任务分配研究[J].数码设计,2023,(21):68-70,3.
