In this paper we introduce a new class of algorithms for the design of a tariff system based on zone partitions for a public transportation network. We show the effectiveness of metaheuristics methods compared with existing heuristics reported in literature, exploiting interesting properties of the problem at hand. Comparison are carried out also in terms of computational time.
Local search heuristics for the zone planning problem / Galligari, Alessandro; Maischberger, Mirko; Schoen, Fabio. - In: OPTIMIZATION LETTERS. - ISSN 1862-4472. - STAMPA. - ...:(2016), pp. 1-13. [10.1007/s11590-016-1069-6]
Local search heuristics for the zone planning problem
GALLIGARI, ALESSANDRO;MAISCHBERGER, MIRKO;SCHOEN, FABIO
2016
Abstract
In this paper we introduce a new class of algorithms for the design of a tariff system based on zone partitions for a public transportation network. We show the effectiveness of metaheuristics methods compared with existing heuristics reported in literature, exploiting interesting properties of the problem at hand. Comparison are carried out also in terms of computational time.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
art%3A10.1007%2Fs11590-016-1069-6.pdf
Accesso chiuso
Tipologia:
Pdf editoriale (Version of record)
Licenza:
Tutti i diritti riservati
Dimensione
1.1 MB
Formato
Adobe PDF
|
1.1 MB | Adobe PDF | Richiedi una copia |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
