An application of SGA: How urban resident acts in making traveling decisions

Long Chenxu, Li Jing, Li Zhuyi


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.


urban resident, traveling decision, SGA

Full Text:



Licencia de Creative Commons 

This work is licensed under a Creative Commons Attribution 4.0 International License

Journal of Industrial Engineering and Management, 2008-2024

Online ISSN: 2013-0953; Print ISSN: 2013-8423; Online DL: B-28744-2008

Publisher: OmniaScience