机电工程技术2025，Vol.54Issue(10)：131-135,5.DOI:10.3969/j.issn.1009-9492.2025.10.027
基于动态分组多目标优化的基站部署方法
A Base Station Deployment Method Based on Dynamic Grouping Multi-objective Optimization
段茹茹 1陈超 1陈志列1
作者信息
- 1. 广东省工业边缘智能创新中心有限公司,广东 深圳 518057
- 折叠
摘要
Abstract
Aiming at the base station planning problem,the topology constraints of base station deployment are analyzed under the premise of meeting a certain return quality.A constraint model objective function is constructed,and combined with the two objective functions of low cost and low loss,the base station topology planning problem is transformed into a multi-objective optimization problem;Applying genetic algorithm to base station planning problems,dividing the population into sub-populations during the evolution process for group collaborative dynamic optimization,and iterating to obtain the optimal solution.During the experiment,30 location data within a 10 km long and wide area are collected as candidate sites for base station topology planning and deployment.The base station topology deployment method based on dynamic grouping multi-objective optimization is compared with the minimum tree base station topology optimization method.The experimental results show that the proposed method performs well in solving the problem of base station deployment planning,with lower cost and loss compared to the comparative algorithms.Moreover,the base station deployment optimization solution has no link crossing or constraint violation,and an effective and reliable low-cost,low-loss base station deployment solution is obtained.关键词
基站拓扑规划/动态分组/多目标进化算法Key words
base station topology deployment/dynamic grouping mechanism/multi-objective optimization algorithm分类
信息技术与安全科学引用本文复制引用
段茹茹,陈超,陈志列..基于动态分组多目标优化的基站部署方法[J].机电工程技术,2025,54(10):131-135,5.
