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

Chenxu Long (), Jing Li () and Heping Dong
Additional contact information
Chenxu Long: Beijing Jiao tong University
Jing Li: Beijing Jiao tong University
Heping Dong: Beijing Jiao tong University

A chapter in LISS 2012, 2013, pp 679-683 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_95

Ordering information: This item can be ordered from
http://www.springer.com/9783642320545

DOI: 10.1007/978-3-642-32054-5_95

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().