Dynamic Route Guidance Using Improved Genetic Algorithms
Joint Authors
Wang, Zeyan
Zhang, Yanhua
Yu, Zhanke
Ni, Mingfang
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-17
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
This paper presents an improved genetic algorithm (IGA) for dynamic route guidance algorithm.
The proposed IGA design a vicinity crossover technique and a greedy backward mutation technique to increase the population diversity and strengthen local search ability.
The steady-state reproduction is introduced to protect the optimized genetic individuals.
Furthermore the junction delay is introduced to the fitness function.
The simulation results show the effectiveness of the proposed algorithm.
American Psychological Association (APA)
Yu, Zhanke& Ni, Mingfang& Wang, Zeyan& Zhang, Yanhua. 2013. Dynamic Route Guidance Using Improved Genetic Algorithms. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1032153
Modern Language Association (MLA)
Yu, Zhanke…[et al.]. Dynamic Route Guidance Using Improved Genetic Algorithms. Mathematical Problems in Engineering No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1032153
American Medical Association (AMA)
Yu, Zhanke& Ni, Mingfang& Wang, Zeyan& Zhang, Yanhua. Dynamic Route Guidance Using Improved Genetic Algorithms. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1032153
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032153
