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Multi Objective Optimization for Route Planning and Fleet Assignment in Regular and Non-regular Flights

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Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems - Volume 2

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 2))

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Abstract

To optimize the flight schedule that consists of (1) the regular flight operated on the same day and time through one year and (2) the non-regular flight operated on the different day and time according to month, this paper proposes a new multi-objective fleet assignment method. To investigate the effectiveness of our method, this paper applies it to a test problem of Japanese domestic airport network optimization for two months, off-peak and peak months, using a real-world data. The following extensions are introduced: (1) our method can not only obtain a flight network for each month simultaneously, but also can find a network that has an equivalent profit given by the conventional method; (2) in peak month, our method can find a network that has higher profit than the conventional method; and (3) our method can find a network that has a well-balanced profit between off-peak and peak months.

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Correspondence to Takahiro Jinba .

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Jinba, T., Harada, T., Sato, H., Takadama, K. (2015). Multi Objective Optimization for Route Planning and Fleet Assignment in Regular and Non-regular Flights. In: Handa, H., Ishibuchi, H., Ong, YS., Tan, KC. (eds) Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems - Volume 2. Proceedings in Adaptation, Learning and Optimization, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-13356-0_44

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  • DOI: https://doi.org/10.1007/978-3-319-13356-0_44

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13355-3

  • Online ISBN: 978-3-319-13356-0

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