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

被引：1

作者：

Xue, Yani ^{[1
]}

Li, Miqing ^{[2
]}

Arabnejad, Hamid ^{[1
]}

Suleimenova, Diana ^{[1
]}

Jahani, Alireza ^{[1
]}

Geiger, Bernhard C. ^{[3
]}

Wang, Zidong ^{[1
]}

Liu, Xiaohui ^{[1
]}

Groen, Derek ^{[1
]}

机构：

[1] Brunel Univ London, Dept Comp Sci, London, England

[2] Univ Birmingham, Sch Comp Sci, Birmingham, W Midlands, England

[3] Know Ctr GmbH, Graz, Austria

来源：

COMPUTATIONAL SCIENCE - ICCS 2022, PT III | 2022年 / 13352卷

关键词：

Facility location problem; Multiobjective optimization; Simulation; Evolutionary algorithms; MODEL;

D O I：

10.1007/978-3-031-08757-8_42

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：497 / 504

页数：8

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