Skip to Main content Skip to Navigation
Journal articles

Solving a Dial-a-Ride Problem with a Hybrid Multi-objective Evolutionary Approach: Application to Demand Responsive Transport

Abstract : Demand responsive transport allows customers to be carried to their destination as with a taxi service, provided that the customers are grouped in the same vehicles in order to reduce operational costs. This kind of service is related to the dial-a-ride problem. However, in order to improve the quality of service, demand responsive transport needs more flexibility. This paper tries to address this issue by proposing an original evolutionary approach. In order to propose a set of compromise solutions to the decision-maker, this approach optimizes three objectives concurrently. Moreover, in order to intensify the search process, this multi-objective evolutionary approach is hybridized with a local search. Results obtained on random and realistic problems are detailed to compare three state-of-the-art algorithms and discussed from an operational point of view.
Complete list of metadatas

https://hal.inria.fr/inria-00591138
Contributor : Rémy Chevrier <>
Submitted on : Saturday, December 17, 2011 - 5:20:54 PM
Last modification on : Thursday, February 21, 2019 - 10:52:49 AM
Long-term archiving on: : Sunday, December 4, 2016 - 3:47:01 AM

File

drt20110506.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00591138, version 1

Collections

Citation

R. Chevrier, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens. Solving a Dial-a-Ride Problem with a Hybrid Multi-objective Evolutionary Approach: Application to Demand Responsive Transport. Applied Soft Computing, Elsevier, 2012, 12 (4), pp.1247-1258. ⟨inria-00591138v1⟩

Share

Metrics

Record views

86

Files downloads

298