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Adaptive Iterative Destruction Construction Heuristic for the Firefighters Timetabling Problem

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Metaheuristics and Nature Inspired Computing (META 2021)

Abstract

Every year, wildfires accentuated by global warming, cause economic and ecological losses, and often, human casualties. Increasing operating capacity of firefighter crews is of importance to better face the forest fire period that yearly occurs. In this study, we investigate the real-world firefighters timetabling problem (FFTP) of the INFOCA institution in Andalusia (Spain) with the aim of increasing operating capacity while taking into account work regulation constraints. We propose an Integer Linear Programming model and an Adaptive Iterative Destruction Construction Heuristic solution approache to address the problem. We report on experiments performed on datasets generated using real-world data of the INFOCA institution. The work was initiated as part of the GEO-SAFE project (https://geosafe.lessonsonfire.eu/).

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References

  1. Aggarwal, S.C.: A focussed review of scheduling in services. Eur. J. Oper. Res. 9(2), 114–121 (1982)

    Article  Google Scholar 

  2. Barnhart, C., Cohn, A.M., Johnson, E.L., Klabjan, D., Nemhauser, G.L., Vance, P.H.: Airline crew scheduling. In: Hall, R.W. (ed.) Handbook of Transportation Science, pp. 517–560. Springer, Boston (2003). https://doi.org/10.1007/0-306-48058-1_14

    Chapter  Google Scholar 

  3. Ben-Said, A., El-Hajj, R., Moukrim, A.: An adaptive heuristic for the capacitated team orienteering problem. In: 8th IFAC Conference on Manufacturing Modelling, Management and Control, pp. 1662–1666 (2016)

    Google Scholar 

  4. Burke, E.K., De Causmaecker, P., Berghe, G.V., Van Landeghem, H.: The state of the art of nurse rostering. J. Sched. 7(6), 441–499 (2004)

    Article  MathSciNet  Google Scholar 

  5. Edie, L.C.: Traffic delays at toll booths. J. Oper. Res. Soc. Am. 2(2), 107–138 (1954)

    Google Scholar 

  6. Ernst, A.T., Jiang, H., Krishnamoorthy, M., Owens, B., Sier, D.: An annotated bibliography of personnel scheduling and rostering. Ann. Oper. Res. 127(1), 21–144 (2004)

    Article  MathSciNet  Google Scholar 

  7. Ernst, A.T., Jiang, H., Krishnamoorthy, M., Sier, D.: Staff scheduling and rostering: a review of applications, methods and models. Eur. J. Oper. Res. 153(1), 3–27 (2004)

    Article  MathSciNet  Google Scholar 

  8. IBM, Cplex, User’s Manual (2020). https://www.ibm.com

  9. Tien, J.M., Kamiyama, A.: On manpower scheduling algorithms. SIAM Rev. 24(3), 275–287 (1982)

    Article  MathSciNet  Google Scholar 

  10. Van den Bergh, J., Beliën, J., De Bruecker, P., Demeulemeester, E., De Boeck, L.: Personnel scheduling: a literature review. Eur. J. Oper. Res. 226(3), 367–385 (2013)

    Article  MathSciNet  Google Scholar 

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Acknowledgments

This work was initiated as part of the GEO-SAFE project. The GEO-SAFE project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłłodowska-Curie RISE grant agreement No 691161. This work is carried out in the framework of the Labex MS2T, which was funded by the French Government, through the program “Investments for the future” managed by the National Agency for Research (Reference ANR-11-IDEX-0004-02).

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Correspondence to Mohamed-Amine Ouberkouk .

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Ouberkouk, MA., Boufflet, JP., Mourkim, A. (2022). Adaptive Iterative Destruction Construction Heuristic for the Firefighters Timetabling Problem. In: Dorronsoro, B., Yalaoui, F., Talbi, EG., Danoy, G. (eds) Metaheuristics and Nature Inspired Computing. META 2021. Communications in Computer and Information Science, vol 1541. Springer, Cham. https://doi.org/10.1007/978-3-030-94216-8_3

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  • DOI: https://doi.org/10.1007/978-3-030-94216-8_3

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  • Online ISBN: 978-3-030-94216-8

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