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

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 displ...

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Bibliographic Details
Published inComputational Science - ICCS 2022 Vol. 13352; pp. 497 - 504
Main Authors Xue, Yani, Li, Miqing, Arabnejad, Hamid, Suleimenova, Diana, Jahani, Alireza, Geiger, Bernhard C., Wang, Zidong, Liu, Xiaohui, Groen, Derek
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2022
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Evolutionary algorithms
Facility location problem
Multiobjective optimization
Simulation
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Summary: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.
ISBN:9783031087561
3031087569
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-031-08757-8_42