LISS 2012 pp 679-683 | Cite as

A Modeling of the Description of Urban Residents’ Traveling Decision Based on Simple Genetic Algorithm

Conference paper

Abstract

Genetic algorithm is a new optimizing searching method based on biology evolutionary theory. Just as evolution deals in populations of individuals, genetic algorithms mimic nature by evolving huge churning populations of code, all processing and mutating at once. One of the most important points of this paper is how to describe the urban residents making trip modes decisions based on simple Genetic Algorithm. What’s more, to establish a proper fitness function is another difficulty of this paper.

Keywords

Model Urban resident Traveling decision SGA 

Notes

Acknowledgments

This paper is supported by the National Natural Science Foundation (No. 71103014), the basic research and operating expenses (No. 2011JBM032) and the key project of logistics management and technology lab.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.School of Economics and Management, Information Management and SystemBeijing Jiao tong UniversityBeijingP. R. China

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