Author(s) |
Nguyen, Hung Khanh
Chiong, Raymond
Chica, Manuel
Middleton, Richard H
Dhakal, Sandeep
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Publication Date |
2019
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Abstract |
<p>Migration is one of the many responses humans and societies make to ongoing demographic, economic, societal and environmental changes. In this work, we use agent-based modeling (ABM) to study the dynamics of migration flows across provinces and cities in the Mekong Delta, Vietnam. The strength of ABM is that it allows a bottom-up approach that focuses on how individuals make decisions in a complex system comprising various factors. Outputs of our agent-based model are automatically calibrated with actual data using a genetic algorithm. This automated calibration yields some significant improvement in the results, with all observed net- and out-migration data captured within the 95% confidence interval. Sensitivity analysis carried out helps to further understand the impact of critical factors on the final migration decision.</p>
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Citation |
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, p. 3372-3379
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ISBN |
9781728121536
9781728121529
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Link | |
Publisher |
IEEE
|
Title |
Agent-based Modeling of Migration Dynamics in the Mekong Delta, Vietnam: Automated Calibration Using a Genetic Algorithm
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Type of document |
Conference Publication
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Entity Type |
Publication
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