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。
In order to solve the problem of optical cable network extension during the deployment stage of the army,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 combining 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 doublestandard 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.
作者
张煜
王磊
姚昌华
林春盛
ZHANG Yu;WANG Lei;YAO Chang-hua;LIN Chun-sheng(College of Communications Engineering,Army Engineering University of PLA,Nanjing Jiangsu 210007,China;School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing Jiangsu 210007,China;Unit 31618 of PLA,Fuzhou Fujian 350000,China)
出处
《计算机仿真》
2024年第1期17-24,共8页
Computer Simulation
基金
国家自然科学基金(61702543,61971439)
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)。
关键词
光缆延伸
多点选址
拓扑优化
蝠鲼优化
遗传算法
Optical cable extension
Multi-facility location
Topology optimization
Manta ray foraging optimization
Genetic algorithm