Multi-objective Optimization Genetic Algorithm for Multimodal Transportation

Author:

Guiwu Xiong,Dong Xiaomin

Publisher

Springer Singapore

Reference14 articles.

1. Lozano, A., Storchi, G.: Shortest viable path algorithm in multimodal networks. Transp. Res. Part A 35(3), 225–241 (2001)

2. Boussedjra, M., Bloch, C., EI Moudni, A.: An exact method to find the intermodal shortest path. In: Proceedings of the 2004 IEEE International Conference on Networking, Sensing & Control, Taiwan, China (2004)

3. Brands, T., Wismans, L.J.J., Berkum, E.C.V.: Multi-objective optimization of multimodal passenger transportation networks: Coping with demand uncertainty. In: Papadrakakis, M., Karlaftis, M.G., Lagaros, N.D. (eds.) An International Conference on Engineering and Applied Sciences Optimization, Kos Island, Greece, 4–6 June 2014, pp. 547–561 (2014)

4. Brands, T., Berkum, E.C.V.: Performance of a genetic algorithm for solving the multi-objective, multimodal transportation network design problem. Int. J. Transp. 2(1), 1–20 (2014)

5. Zhang, Y., et al.: A bi-objective model for uncertain multi-modal shortest path problems. J. Uncertainty Anal. Appl. 3(8), 1–17 (2015)

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