Dynamic programming based metaheuristics for the dial-a-ride problem - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Annals of Operations Research Year : 2016

Dynamic programming based metaheuristics for the dial-a-ride problem

Abstract

The organization of a specialized transportation system to perform transports for elderly and handicapped people is usually modeled as dial-a-ride problem. Users place transportation requests with specified pickup and delivery locations and times. The requests have to be completed under user inconvenience considerations by a specified fleet of vehicles. In the dial-a-ride problem, the aim is to minimize the total travel times respecting the given time windows, the maximum user ride times, and the vehicle restrictions. This paper introduces a dynamic programming algorithm for the dial-a-ride problem and demonstrates its effective application in (hybrid) metaheuristic approaches. Compared to most of the works presented in literature, this approach does not make use of any (commercial) solver. We present an exact dynamic programming algorithm and a dynamic programming based metaheuristic, which restricts the considered solution space. Then, we propose a hybrid metaheuristic algorithm which integrates the dynamic programming based algorithms into a large neighborhood framework. The algorithms are tested on a given set of benchmark instances from the literature and compared to a state-of-the-art hybrid large neighborhood search approach.
Fichier principal
Vignette du fichier
Ritzinger2012a.pdf (436.07 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01224565 , version 1 (06-11-2015)

Licence

Attribution - NonCommercial - NoDerivatives

Identifiers

Cite

Ulrike Ritzinger, Jakob Puchinger, Richard F. Hartl. Dynamic programming based metaheuristics for the dial-a-ride problem. Annals of Operations Research, 2016, 236 (2), ⟨10.1007/s10479-014-1605-7⟩. ⟨hal-01224565⟩
77 View
784 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More