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Research on Intelligent Schedule of Public Traffic Vehicles Based on Heuristic Genetic Algorithm

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 236))

Abstract

This paper based on heuristic genetic algorithm of bus intelligent scheduling research on genetic algorithm, and the specialization of each operator handling. This method makes full use of the characteristics of genetic algorithm, improved intelligence of bus intelligent scheduling and improved the operation efficiency and effectively improved the static scheduling of public traffic vehicles.

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References

  1. Karaoglu, B., Topcuoglu, H., Gurgen, F.: Evolutionary algorithms for location area management. In: Rothlauf, F., Branke, J., Cagnoni, S., Corne, D.W., Drechsler, R., Jin, Y., Machado, P., Marchiori, E., Romero, J., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 175–184. Springer, Heidelberg (2005)

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© 2011 Springer-Verlag Berlin Heidelberg

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Yu, L. (2011). Research on Intelligent Schedule of Public Traffic Vehicles Based on Heuristic Genetic Algorithm. In: Zhu, M. (eds) Information and Management Engineering. ICCIC 2011. Communications in Computer and Information Science, vol 236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24097-3_73

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  • DOI: https://doi.org/10.1007/978-3-642-24097-3_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24096-6

  • Online ISBN: 978-3-642-24097-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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