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Fully Fuzzy Multi-objective Berth Allocation Problem

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Hybrid Artificial Intelligent Systems (HAIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12344))

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Abstract

The Berth Allocation (BA) problem is an important problem in port logistics. It aims at finding optimal berthing times and positions of arriving vessels in a wharf subject to physical constraints. The optimisation criteria in the BA problem are diverse and respond to specific interests of vessels and wharves operators. Furthermore, although the BA problem has been dealt with mostly under complete certainty, it is a highly uncertain problem due to many factors that can affect vessels arrival and handling times. This paper takes fuzzy uncertainty into account and presents a fully fuzzy two-objective BA problem, by considering the minimisation of the total waiting time of vessels and the makespan of the wharf operation from the perspectives of vessels and wharves operators, respectively. A fuzzy epsilon-constraint method and a lexicographic method for fully fuzzy linear programming with inequality constraints are used jointly to solve the problem. A numerical example is given as illustration. Results demonstrate the usefulness of the proposed approach in handling fuzziness and conflicting objectives simultaneously in a BA problem.

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Acknowledgements

The research of José Luis Verdegay is supported in part by project TIN2017-86647-P (Spanish Ministry of Economy and Competitiveness and FEDER funds from the European Union).

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Authors and Affiliations

  1. University of Cienfuegos, 55100, Cienfuegos, Cuba

    Boris Pérez-Cañedo & Eduardo René Concepción-Morales

  2. University of Granada, Granada, Spain

    José Luis Verdegay

  3. Technological University of Havana, Havana, Cuba

    Alejandro Rosete

Authors
  1. Boris Pérez-Cañedo
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  2. José Luis Verdegay
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  3. Alejandro Rosete
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  4. Eduardo René Concepción-Morales
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Corresponding author

Correspondence to Boris Pérez-Cañedo .

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Editors and Affiliations

  1. University of Oviedo, Oviedo, Spain

    Enrique Antonio de la Cal

  2. University of Oviedo, Oviedo, Spain

    José Ramón Villar Flecha

  3. University of A Coruña, Ferrol, Spain

    Héctor Quintián

  4. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Pérez-Cañedo, B., Verdegay, J.L., Rosete, A., Concepción-Morales, E.R. (2020). Fully Fuzzy Multi-objective Berth Allocation Problem. In: de la Cal, E.A., Villar Flecha, J.R., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2020. Lecture Notes in Computer Science(), vol 12344. Springer, Cham. https://doi.org/10.1007/978-3-030-61705-9_22

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  • DOI: https://doi.org/10.1007/978-3-030-61705-9_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61704-2

  • Online ISBN: 978-3-030-61705-9

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