An application of SGA: How urban resident acts in making traveling decisions
Abstract: 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.
Author: Long Chenxu, Li Jing,
Li Zhuyi
Journal Code: jptindustrigg130066