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

In: Liss 2012

Author

Listed:
  • Chenxu Long

    (Beijing Jiao tong University)

  • Jing Li

    (Beijing Jiao tong University)

  • Heping Dong

    (Beijing Jiao tong University)

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.

Suggested Citation

  • Chenxu Long & Jing Li & Heping Dong, 2013. "A Modeling of the Description of Urban Residents’ Traveling Decision Based on Simple Genetic Algorithm," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 679-683, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-32054-5_95
    DOI: 10.1007/978-3-642-32054-5_95
    as

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