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

共 50 条

[31] SIMULATION APPLICATIONS IN HUMANITARIAN LOGISTICS: A SYSTEMATIC LITERATURE REVIEW
Pareja Yale, Camila Laura
da Silva Frazao, Marcia Lorena
de Mesquita, Marco Aurelio
Yoshida Yoshizaki, Hugo Tsugunobu
2020 WINTER SIMULATION CONFERENCE (WSC), 2020, : 2589 - 2600
[32] Pareto Ant Colony Optimization: A Metaheuristic Approach to Multiobjective Portfolio Selection
Karl Doerner
Walter J. Gutjahr
Richard F. Hartl
Christine Strauss
Christian Stummer
Annals of Operations Research, 2004, 131 : 79 - 99
[33] A SIMULATION FRAMEWORK FOR UAV-AIDED HUMANITARIAN LOGISTICS
van Steenbergen, Robert
Mes, Martijn
2020 WINTER SIMULATION CONFERENCE (WSC), 2020, : 1372 - 1383
[34] Pareto ant colony optimization: A metaheuristic approach to multiobjective portfolio selection
Doerner, K
Gutjahr, WJ
Hartl, RF
Strauss, C
Stummer, C
ANNALS OF OPERATIONS RESEARCH, 2004, 131 (1-4) : 79 - 99
[35] A novel approach for location selection in logistics: Ensemble SVM and improved genetic algorithm
Lu, Chao
Hong, Feng
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2024, 36 (16):
[36] A simulation-optimization approach for solving the forestry logistics problem
Sibdari, Soheil Y.
Sepasi, Amir H.
IFAC PAPERSONLINE, 2022, 55 (10): : 3178 - 3183
[37] SIMULATION MODEL AND SIMULATION-BASED SERIOUS GAMING IN HUMANITARIAN LOGISTICS
de Souza, Robert
William, Linda
Timperio, Giuseppe
Rahim, Za'Aba Bin Abdul
2018 WINTER SIMULATION CONFERENCE (WSC), 2018, : 57 - 67
[38] Humanitarian logistics and emergencies management: New perspectives to a sociotechnical problem and its optimization approach management
Yanez-Sandivari, Luis
Cortes, Cristian E.
Rey, Pablo A.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2021, 52
[39] An Introduction to Multiobjective Simulation Optimization
Hunter, Susan R.
Applegate, Eric A.
Arora, Viplove
Chong, Bryan
Cooper, Kyle
Rincon-Guevara, Oscar
Vivas-Valencia, Carolina
ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION, 2019, 29 (01):
[40] Application Research on Location Selection of Logistics Distribution Center Based on Immune optimization algorithm
Song Qiang
PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY (FMSMT 2017), 2017, 130 : 1575 - 1578

← 1 2 3 4 5 →