A cooperative coevolutionary optimization design of urban transit network and operating frequencies

作者：

Highlights：

• Two populations for simultaneous optimization of transit networks and operating frequencies.

• A cooperative coevolutionary multiobjective evolutionary algorithm (CCMOEA) for the TNDFSP.

• Unsatisfied demand embedded into the CCMOEA for more feasible solutions.

• The proposed algorithm performed well with high efficiency and good characteristic.

摘要

•Two populations for simultaneous optimization of transit networks and operating frequencies.•A cooperative coevolutionary multiobjective evolutionary algorithm (CCMOEA) for the TNDFSP.•Unsatisfied demand embedded into the CCMOEA for more feasible solutions.•The proposed algorithm performed well with high efficiency and good characteristic.

论文关键词：Transit network design,Frequency setting,Public transportation,Multiobjective optimization,Cooperative coevolutionary algorithm

论文评审过程：Received 11 January 2020, Revised 21 May 2020, Accepted 8 July 2020, Available online 17 July 2020, Version of Record 29 July 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113736