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• W2967027706 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." @default.
• W2967027706 created "2019-08-22" @default.
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• W2967027706 date "2019-06-01" @default.
• W2967027706 modified "2023-09-26" @default.
• W2967027706 title "Agent-based Modeling of Migration Dynamics in the Mekong Delta, Vietnam: Automated Calibration Using a Genetic Algorithm" @default.
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• W2967027706 doi "https://doi.org/10.1109/cec.2019.8790008" @default.
• W2967027706 hasPublicationYear "2019" @default.
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