0000000000266525

AUTHOR

Timo Hintsch

0000-0002-5111-8872

showing 4 related works from this author

Large multiple neighborhood search for the clustered vehicle-routing problem

2018

Abstract The clustered vehicle-routing problem is a variant of the classical capacitated vehicle-routing problem in which customers are partitioned into clusters, and it is assumed that each cluster must have been served completely before the next cluster is served. This decomposes the problem into three subproblems, i.e., the assignment of clusters to routes, the routing inside each cluster, and the sequencing of the clusters in the routes. The second task requires the solution of several Hamiltonian path problems, one for each possibility to route through the cluster. We pre-compute the Hamiltonian paths for every pair of customers of each cluster. We present a large multiple neighborhood…

Mathematical optimizationSequence021103 operations researchInformation Systems and ManagementGeneral Computer ScienceGeneralization0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchHamiltonian pathIndustrial and Manufacturing EngineeringTask (computing)symbols.namesakeComputingMethodologies_PATTERNRECOGNITIONModeling and SimulationVehicle routing problem0202 electrical engineering electronic engineering information engineeringsymbolsCluster (physics)020201 artificial intelligence & image processingRouting (electronic design automation)Hamiltonian (control theory)MathematicsEuropean Journal of Operational Research
researchProduct

Large multiple neighborhood search for the soft-clustered vehicle-routing problem

2021

Abstract The soft-clustered vehicle-routing problem (SoftCluVRP) is a variant of the classical capacitated vehicle-routing problem. Customers are partitioned into clusters and all customers of the same cluster must be served by the same vehicle. In this paper, we present a large multiple neighborhood search for the SoftCluVRP. We design and analyze multiple cluster destroy and repair operators as well as two post-optimization components, which are both based on variable neighborhood descent. The first allows inter-route exchanges of complete clusters, while the second searches for intra-route improvements by combining classical neighborhoods (2-opt, Or-opt, double-bridge) and the Balas-Simo…

0209 industrial biotechnology021103 operations researchTheoretical computer scienceGeneral Computer ScienceHeuristic (computer science)Computer scienceHeuristic0211 other engineering and technologiesNeighborhood search02 engineering and technologyManagement Science and Operations ResearchVariable (computer science)020901 industrial engineering & automationModeling and SimulationVehicle routing problemBenchmark (computing)Cluster (physics)Descent (mathematics)Computers & Operations Research
researchProduct

Branch-Price-and-Cut for the Soft-Clustered Capacitated Arc-Routing Problem

2021

The soft-clustered capacitated arc-routing problem (SoftCluCARP) is a variant of the classical capacitated arc-routing problem. The only additional constraint is that the set of required edges, that is, the streets to be serviced, is partitioned into clusters, and feasible routes must respect the soft-cluster constraint, that is, all required edges of the same cluster must be served by the same vehicle. In this article, we design an effective branch-price-and-cut algorithm for the exact solution of the SoftCluCARP. Its new components are a metaheuristic and branch-and-cut-based solvers for the solution of the column-generation subproblem, which is a profitable rural clustered postman tour …

Arc routing050210 logistics & transportationMathematical optimization021103 operations researchComputer science05 social sciencesBranch-price-and-cut0211 other engineering and technologiesTransportation02 engineering and technologyTravelling salesman problemConstraint (information theory)Set (abstract data type)Branch-and-cut0502 economics and businessRouting (electronic design automation)DistrictingBranch and cutArc routingCivil and Structural EngineeringTransportation Science
researchProduct

Exact solution of the soft-clustered vehicle-routing problem

2020

Abstract The soft-clustered vehicle-routing problem (SoftCluVRP) extends the classical capacitated vehicle-routing problem by one additional constraint: The customers are partitioned into clusters and feasible routes must respect the soft-cluster constraint, that is, all customers of the same cluster must be served by the same vehicle. In this article, we design and analyze different branch-and-price algorithms for the exact solution of the SoftCluVRP. The algorithms differ in the way the column-generation subproblem, a variant of the shortest-path problem with resource constraints (SPPRC), is solved. The standard approach for SPPRCs is based on dynamic-programming labeling algorithms. We s…

050210 logistics & transportationMathematical optimization021103 operations researchInformation Systems and ManagementGeneral Computer ScienceComputer science05 social sciences0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringConstraint (information theory)Exact solutions in general relativityModeling and Simulation0502 economics and businessVehicle routing problemCluster (physics)State spaceRelaxation (approximation)Integer programmingEuropean Journal of Operational Research
researchProduct