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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24921
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dc.contributor.authorXue, Y-
dc.contributor.authorLi, M-
dc.contributor.authorArabnejad, H-
dc.contributor.authorSuleimenova, D-
dc.contributor.authorJahani, A-
dc.contributor.authorC. Geiger, B-
dc.contributor.authorWang, Z-
dc.contributor.authorLiu, X-
dc.contributor.authorGroen, D-
dc.coverage.spatialLondon, UK-
dc.date.accessioned2022-07-15T14:11:31Z-
dc.date.available2022-07-15T14:11:31Z-
dc.date.issued2022-06-15-
dc.identifier.citationXue, Y. et al. (2022) 'Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach', 22nd International Conference on Computational Science (ICCS 2022), 13352, pp. 497 - 504. doi:10.1007/978-3-031-08757-8_42.en_US
dc.identifier.isbn978-3-031-08757-8-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24921-
dc.descriptionAcknowledgements: 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.en_US
dc.description.abstractIn 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.en_US
dc.description.sponsorshipITFLOWS and HiDALGO projects, which have received funding from the European Union Horizon 2020 research and innovation programme under grant agreement nos 882986 and 824115.-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherSpringer, Chamen_US
dc.rightsCopyright © 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG. Springer Nature has partnered with Copyright Clearance Center's RightsLink service to offer a variety of options for reusing this content.-
dc.source22nd International Conference on Computational Science (ICCS 2022)-
dc.source22nd International Conference on Computational Science (ICCS 2022)-
dc.subjectFacility location problemen_US
dc.subjectMultiobjective optimizationen_US
dc.subjectSimulationen_US
dc.subjectEvolutionary algorithmsen_US
dc.titleCamp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approachen_US
dc.typeConference Paperen_US
dc.identifier.doihttp://doi.org/10.1007/978-3-031-08757-8_42-
dc.relation.isPartOfComputational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science.-
pubs.finish-date2022-06-23-
pubs.finish-date2022-06-23-
pubs.publication-statusPublished-
pubs.start-date2022-06-21-
pubs.start-date2022-06-21-
pubs.volume13352-
Appears in Collections:Dept of Computer Science Research Papers

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