智能城市2025，Vol.11Issue(4)：32-34,3.DOI:10.19301/j.cnki.zncs.2025.04.009
局部搜索优化遗传算法在市域郊铁路多级运营模式中的应用
Application of local search optimization genetic algorithm in multi-level operation mode of urban suburban railways
汪卓 1邬猛 1朱国鹏2
作者信息
- 1. 中车城市交通规划设计研究院有限公司,江苏 南京 211899
- 2. 中车智能交通工程技术有限公司,北京 100078
- 折叠
摘要
Abstract
This study focuses on the optimization of multi-level operation modes for regional suburban railways.By integrating a genetic algorithm(GA)with a local search strategy,we explore effective solutions for train formation adjustment and operational mode optimization.Taking the Wuxi S1 Line as a case study,the improved algorithm demonstrates significant advantages over traditional GA in reducing operational costs and enhancing solution quality.The results indicate that this optimization algorithm provides an efficient solution for suburban railway operations,contributing to optimized resource allocation and improved operational efficiency.关键词
市域郊铁路/行车组织/遗传算法/局部搜索/改进模型Key words
urban suburban railway/train operations organization/genetic algorithm/local search/improved model分类
交通运输引用本文复制引用
汪卓,邬猛,朱国鹏..局部搜索优化遗传算法在市域郊铁路多级运营模式中的应用[J].智能城市,2025,11(4):32-34,3.
