Application of local search optimization genetic algorithm in multi-level operation mode of urban suburban railways
WANG Zhuo
WU Meng
ZHU Guopeng
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.
Keywords：urban suburban railwaytrain operations organizationgenetic algorithmlocal searchimproved model
Publication Date：2025-04-25
Pages：3( 32-34 )