Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach

Yani Xue, Miqing Li, Hamid Arabnejad, Diana Suleimenova, Alireza Jahani, Bernhard C. Geiger, Zidong Wang, Xiaohui Liu, Derek Groen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In the context of humanitarian support for forcibly displaced persons, camps play an important role in protecting people and ensuring their survival and health. A challenge in this regard is to find optimal locations for establishing a new asylum-seeker/unrecognized refugee or IDPs (internally displaced persons) camp. In this paper we formulate this problem as an instantiation of the well-known facility location problem (FLP) with three objectives to be optimized. In particular, we show that AI techniques and migration simulations can be used to provide decision support on camp placement.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2022
Subtitle of host publication22nd International Conference, London, UK, June 21–23, 2022, Proceedings, Part III
EditorsDerek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
PublisherSpringer
Pages497-504
Number of pages8
ISBN (Electronic)9783031087578
ISBN (Print)9783031087561
DOIs
Publication statusPublished - 22 Jun 2022
Event22nd Annual International Conference on Computational Science, ICCS 2022 - London, United Kingdom
Duration: 21 Jun 202223 Jun 2022

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume13352
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd Annual International Conference on Computational Science, ICCS 2022
Country/TerritoryUnited Kingdom
CityLondon
Period21/06/2223/06/22

Bibliographical note

Funding Information:
Acknowledgements. This work is supported by the ITFLOWS and HiDALGO projects, which have received funding from the European Union Horizon 2020 research and innovation programme under grant agreement nos 882986 and 824115. The authors are grateful to Prof. Simon J E Taylor and Dr. Anastasia Anagnostou for their constructive discussions on this work.

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Evolutionary algorithms
  • Facility location problem
  • Multiobjective optimization
  • Simulation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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