Complete hierarchical multi-objective genetic algorithm for transit network design problem

作者：

Highlights：

• A Novel complete hierarchical GA methodology for the TNDP.

• Multi-objective nature of the problem is tackled efficiently.

• General and adaptable methodology for real size networks.

• The methodology is statistically verified.

摘要

•A Novel complete hierarchical GA methodology for the TNDP.•Multi-objective nature of the problem is tackled efficiently.•General and adaptable methodology for real size networks.•The methodology is statistically verified.

论文关键词：Public transportation,Genetic algorithm,Transit routing,Constructive algorithms,Frequency setting

论文评审过程：Received 18 March 2018, Revised 26 June 2018, Accepted 16 July 2018, Available online 17 July 2018, Version of Record 31 July 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.033