SciELO - Scientific Electronic Library Online

 
vol.42 issue3A comparison of first principle and neural network modelling for a novel depollution processNumerical study of the natural convection in a two-dimensional partially open tilted cavity author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Latin American applied research

Print version ISSN 0327-0793

Abstract

DONDO, R.. A new formulation to the shortest path problem with time windows and capacity constraints. Lat. Am. appl. res. [online]. 2012, vol.42, n.3, pp.257-265. ISSN 0327-0793.

The Shortest-path problem with time-windows and capacity constraints (SPPTWCC) is a problem used for solving vehicle-routing and crew-scheduling applications. The SPPTWCC occurs as a sub-problem used to implicitly generate the set of all feasible routes and schedules in the column-generation formulation of the vehicle routing problem with time windows (VRPTW) and its variations. The problem is NP-hard in the strong sense. Classical solution approaches are based on a non-elementary shortest-path problem with resource constraints using dynamic-programming labeling algorithms. In this way, numerous label-setting algorithms have been developed. Contrarily to this approach and with the aim to obtain elemental and optimal solutions, we propose a new mixed integer-linear formulation to the SPPTWCC. Some valid inequalities that can be used to strengthen the linear relaxation of the SPPTWCC are also proposed. Numerical experiments on some VRPTW instances taken from Solomon's benchmark problems show that (near) optimal solutions are easily obtained in spite of the considerable problem size. Also the number of generated columns is kept at a very low level.

Keywords : Shortest Path Problem; MILP Formulation; Column Generation; Vehicle Routing.

        · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License