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

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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Year of publication:	2013
Authors:	Chenxu, Long ; Jing, Li ; Zhuyi, Li
Published in:	Journal of Industrial Engineering and Management (JIEM). - Barcelona : OmniaScience, ISSN 2013-0953. - Vol. 6.2013, 1, p. 308-319
Publisher:	Barcelona : OmniaScience
Subject:	urban resident \| traveling decision \| SGA

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Type of publication:	Article
Type of publication (narrower categories):	Article
Language:	English
Other identifiers:	10.3926/jiem.677 [DOI] 1031237992 [GVK] hdl:10419/188529 [Handle]
Source:	EconStor

Persistent link: https://www.econbiz.de/10011939046