作战力量前推部署光缆网延伸保障问题
Extension and Support of Optical Cable Network during Deplayment Stage of the Army
张煜 1王磊 1姚昌华 2林春盛3
作者信息
- 1. 陆军工程大学通信工程学院,江苏 南京 210007
- 2. 南京信息工程大学电子与信息工程学院,江苏 南京 210007
- 3. 解放军31618 部队,福建 福州 350000
- 折叠
摘要
为解决作战力量前推部署阶段光缆网延伸保障问题,对机动通信方舱预设节点选址与通信拓扑优化开展研究.基于控制战场建设费用与缩短部队接入耗时的双目标要求,建立包含拓扑优化的多点连续选址问题模型.采用交替选址-拓扑优化的思路,构建蝠鲼觅食与遗传算法结合的双层优化算法.为适用问题求解并提升算法性能,引入初始种群设计、蒙特卡罗准则、分流竞争优化、双标共检终止等改进措施.仿真与分析表明,所提模型方法性能良好能实现择优选址与拓扑优化.
Abstract
In order to solve the problem of optical cable network extension during the deployment stage of the ar-my,the research was carried out on the site selection of the mobile communication shelter and the optimization of the communication topology.A multi-point continuous location problem model with topology optimization was established to control the cost of battlefield construction and shorten the time consuming.A two-layer optimization algorithm com-bining manta ray foraging optimization and genetic algorithm was constructed to solve the problem,whice adoptes the idea of location-topology optimization.In order to solve the problem and improve the performance of the algorithm,improvements such as initial population design,metropolis criterion,shunting competition optimization,and double-standard co-check termination were introduced.Simulation and analysis show that the proposed model method has good performance and can achieve optimal address and topology optimization.
关键词
光缆延伸/多点选址/拓扑优化/蝠鲼优化/遗传算法Key words
Optical cable extension/Multi-facility location/Topology optimization/Manta ray foraging optimization/Genetic algorithm引用本文复制引用
基金项目
国家自然科学基金(61702543)
国家自然科学基金(61971439)
江苏省自然科学基金(BK20191329)
南京信息工程大学人才启动经费(2020r100)
出版年
2024
NETL
NSTL
维普
万方数据