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An application of SGA: How urban resident acts in making traveling decisionsDOI: 10.3926/jiem.677 Keywords: urban resident , traveling decision , SGA Abstract: Purpose: To study how urban resident acts in making traveling decisions. Design/methodology/approach: Simple Genetic Algorithm (SGA) Findings: Using SGA to make the model of urban resident's decisions is rational. Research limitations/implications: This study is just about single one and the SGA could be made better. Originality/value: Use SGA to describe urban resident's traveling behavior, and combine the management problem with the AI.
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