MULTIOBJECTIVE EVOLUTIONARY ALGORITHM FOR INTEGRATED TIMETABLE OPTIMIZATION WITH VEHICLE SCHEDULING ASPECTS

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  • Michal Weiszer
  • Gabriel Fedorko
  • Zdeněk Čujan

Klíčová slova:

multiobjective optimization, genetic algorithm, timetable, vehicle scheduling

Abstrakt

This paper describes the implementation of evolutionary multiobjective geneticalgorithm (NSGA-II) to integrate timetabling and vehicle scheduling stages of thetransportation planning proces. Model with timetable optimization focused onminimizing the transfer time of the passengers in transfer node along withminimizing the number of vehicles needed to operate such timetable is presented.Results from simple test case illustrate the effectiveness of a such approach.Developed solution is able to optimize conflicting objectives of passengers andtransportation company simultaneously.

Stažení

Data o stažení nejsou doposud dostupná.

Reference

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Stahování

Publikováno

2010-12-30

Jak citovat

Weiszer, M., Fedorko, G., & Čujan, Z. (2010). MULTIOBJECTIVE EVOLUTIONARY ALGORITHM FOR INTEGRATED TIMETABLE OPTIMIZATION WITH VEHICLE SCHEDULING ASPECTS. Perner’s Contacts, 5(4), 286–294. Získáno z https://pernerscontacts.upce.cz/index.php/perner/article/view/1071

Číslo

Vol 5 No 4 (2010)

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Licence

Copyright (c) 2020 Michal Weiszer##common.commaListSeparator##Gabriel Fedorko##common.commaListSeparator##Zdeněk Čujan

Creative Commons License

Tato práce je licencována pod Mezinárodní licencí Creative Commons Attribution 4.0 .

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