Algorithms for on-demand touring problems

As part of this thesis, we investigate the vehicle routing problem. We propose heuristics to solve this problem quickly and efficiently. In this thesis, we deal with three problems: the first is the Dial-a-ride problem. For this problem, we propose heuristics based on the technique of insertion and a constraint propagation technique. We propose also the procedure SPLIT and some operators of local research to solve this problem. The second is the multi-criteria DARP for which we propose an ELS framework. The third is a DARP problem with financial constraints (DARPF), which is an extension of DARP. We solve this problem thanks to insertion heuristics using a constraint propagation technique. The objective function determines the characteristics of the tour. Experimental results show that our (meta-) heuristics give results more favorable to customers (better quality of service)

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Source https://theses.hal.science/tel-00671350
Author Zhao, Xiagang
Maintainer CCSD
Last Updated May 28, 2026, 05:33 (UTC)
Created May 28, 2026, 05:33 (UTC)
Identifier NNT: 2011CLF22125
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes (LIMOS) ; Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS)
creator Zhao, Xiagang
date 2011-05-06T00:00:00
harvest_object_id f47bb6e2-3c9d-4700-a26e-33baff991003
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-30T00:00:00
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