代表性学术成果 |
[1] Liu Y., Feng X., Yang Y., Ruan Z., Zhang L. and Li K. (2020) Solving urban electric transit network problem by integrating pareto artificial fish swarm algorithm and genetic algorithm.Journal of Intelligent Transportation Systems, Online Published, https://doi.org/10.1080/15472450.2020.1848561 (SCI) [2] Liu Y., Feng X., Zhang L., Hua W. and Li K. (2020) A pareto artificial fish swarm algorithm for solving a multi-objective electric transit network design problem.Transportmetrica A: Transport Science16(3), 1648-1670. (SCI) [3] Liu Y., Feng X., Ding C., Hua W. and Ruan Z. (2020) Electric transit network design by an improved artificial fish-swarm algorithm.Journal of Transportation Engineering, Part A: Systems146(8), 04020071. (SCI) [4] Liu Y., Jia Y., Feng X. and Wu J. (2018) Bus route design with a Bayesian network analysis of bus service revenues.Mathematical Problems in Engineering2018, 1-8. (SCI) [5] Liu Y., Feng X., Jia Y. and Wu J. (2018) Bi-objective optimization of transit network and frequencies design using Pareto genetic algorithm.Advances in Transportation Studies: An International Journal46, 43-56. (EI) [6] Feng X., Saito M. andLiu Y. (2016) Improve urban passenger transport management by rationally forecasting traffic congestion probability.International Journal of Production Research54(12), 3465-3474. (SCI) [7] Feng X.,Liu Y., Wang Q., Liu H., Ding Y. and Sun Q. (2014) Influence of inter-stop transport distances of a freight train upon its traction energy cost intensities for different target speeds.International Journal of u- and e- Service, Science and Technology7(3), 35-44. (EI) [8] Liu Y., Feng X., Wang Q., Zhang H. and Wang X. (2014) Prediction of urban road congestion using a Bayesian network approach.Procedia-Social and Behavioral Sciences138(14), 671-678. |
