Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61425
Title: Agent-based Modeling of Migration Dynamics in the Mekong Delta, Vietnam: Automated Calibration Using a Genetic Algorithm
Contributor(s): Nguyen, Hung Khanh (author); Chiong, Raymond  (author)orcid ; Chica, Manuel (author); Middleton, Richard H (author); Dhakal, Sandeep (author)
Publication Date: 2019
DOI: 10.1109/CEC.2019.8790008
Handle Link: https://hdl.handle.net/1959.11/61425
Abstract: 

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.

Publication Type: Conference Publication
Conference Details: IEEE CEC 2019: Congress on Evolutionary Computation, Wellington, New Zealand, 10th - 13th June, 2019
Source of Publication: 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, p. 3372-3379
Publisher: IEEE
Place of Publication: United States of America
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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