A large neighborhood search algorithm to optimize a demand-responsive feeder service-Reference-Cited by-同舟云学术

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A large neighborhood search algorithm to optimize a demand-responsive feeder service

Published:2021-06 Issue: Volume:127 Page:103102
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Galarza Montenegro Bryan David,Sörensen Kenneth,Vansteenwegen Pieter

Funder

Fonds Wetenschappelijk Onderzoek Vlaanderen

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference38 articles.

1. Optimization for dynamic ride-sharing: A review;Agatz;Eur. J. Oper. Res.,2012

2. The potential of demand-responsive transport as a complement to public transport: an assessment framework and an empirical evaluation;Alonso-González;Transp. Res. Rec.,2018

3. CHAMP: Creating heuristics via many parameters for online bin packing;Asta;Expert Syst. Appl.,2016

4. Sample size estimation for power and accuracy in the experimental comparison of algorithms;Campelo;J. Heuristics,2018

5. Integrated smart feeder/shuttle transit service: simulation of new routing strategies;Ceder;J. Adv. Transp.,2013

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