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The Optimization Model for River Rafting Management

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Advances in Computational Science and Computing (ISCSC 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 877))

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Abstract

In this paper, we concerned two problems. Firstly, based on the hypothesis during the rafting, the river carrying capacity model is established. Secondly, we choose four 6-nights-motorized of no encounter to enter the river, then get rid of one 6-nights-motorized trip and add some other duration trips in, until the restrict of varying duration and propulsion are satisfied. According to our launching schedule, composite rate could reach 100%.

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References

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Author information

Authors and Affiliations

  1. College of Information and Communication, National University of Defense Technology, Xi’an, 710106, China

    Na Wang, Xinshe Qi, Yuyi Li & Xin Wang

Authors
  1. Na Wang
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  2. Xinshe Qi
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  3. Yuyi Li
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  4. Xin Wang
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Corresponding author

Correspondence to Na Wang .

Editor information

Editors and Affiliations

  1. Division of Intelligent Future Technologies, Mälardalen University, Västerås, Sweden

    Ning Xiong

  2. School of Information Science and Technology, Hunan University, Changsha, Hunan, China

    Zheng Xiao

  3. School of Computer Science, Hunan Normal University, Changsha, Hunan, China

    Zhao Tong

  4. Hunan University of Chinese Medicine, School of Computer Science, Changsha, Hunan, China

    Jiayi Du

  5. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  6. Design and Physical Sciences Brunel, Electronic and Computer Engineering, College of Engineering, Uxbridge, Middlesex, UK

    Maozhen Li

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Wang, N., Qi, X., Li, Y., Wang, X. (2019). The Optimization Model for River Rafting Management. In: Xiong, N., Xiao, Z., Tong, Z., Du, J., Wang, L., Li, M. (eds) Advances in Computational Science and Computing. ISCSC 2018 2018. Advances in Intelligent Systems and Computing, vol 877. Springer, Cham. https://doi.org/10.1007/978-3-030-02116-0_27

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