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Multihop Ridesharing \(\in \) NPC

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Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

Part of the book series: Studies in Big Data ((SBD,volume 132))

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Abstract

Multi-hop ride sharing could be a promising solution for several problems caused by traffic, especially in peak hours. In this article, we prove that Multi-hop ride sharing is an NP-Complete problem, which is also a simplified version of other problems in the state of the art, and currently do not have either an NP-Completeness proof or an NP-Hard proof for the optimization version of this problem; therefore this paper can be used as proof for these problems.

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Authors and Affiliations

  1. FIT (UAT), Centro Universitario Tampico Madero, 89109, Tampico, Tamaulipas, México

    Javier Alejandro Romero-Guzmán, Jesús David Terán-Villanueva, Mirna Patricia Ponce-Flores & Aurelio Alejandro Santiago-Pineda

Authors
  1. Javier Alejandro Romero-Guzmán
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  2. Jesús David Terán-Villanueva
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  3. Mirna Patricia Ponce-Flores
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  4. Aurelio Alejandro Santiago-Pineda
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Corresponding author

Correspondence to Jesús David Terán-Villanueva .

Editor information

Editors and Affiliations

  1. División Multidisciplinaria de Ciudad Universitaria, Universidad Autónoma de Ciudad Juárez, Chihuahua, Mexico

    Gilberto Rivera

  2. Tecnológico Nacional de México/Instituto Tecnológico de Ciudad Madero, Ciudad Madero, Tamaulipas, Mexico

    Laura Cruz-Reyes

  3. School of Engineering, Universidad de Cádiz, Cadiz, Spain

    Bernabé Dorronsoro

  4. Universidad Tecnológica de La Habana “José Antonio Echeverría”, La Habana, Cuba

    Alejandro Rosete

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Romero-Guzmán, J.A., Terán-Villanueva, J.D., Ponce-Flores, M.P., Santiago-Pineda, A.A. (2023). Multihop Ridesharing \(\in \) NPC. In: Rivera, G., Cruz-Reyes, L., Dorronsoro, B., Rosete, A. (eds) Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications. Studies in Big Data, vol 132. Springer, Cham. https://doi.org/10.1007/978-3-031-38325-0_15

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