The Edge Set Cost of the Vehicle Routing Problem with Time Windows
Author(s) -
Line Blander Reinhardt,
Mads Kehlet Jepsen,
David Pisinger
Publication year - 2015
Publication title -
transportation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.965
H-Index - 115
eISSN - 1526-5447
pISSN - 0041-1655
DOI - 10.1287/trsc.2015.0620
Subject(s) - mathematical optimization , integer programming , vehicle routing problem , set (abstract data type) , path (computing) , generalization , computer science , toll , branch and cut , routing (electronic design automation) , enhanced data rates for gsm evolution , branch and price , operations research , mathematics , computer network , artificial intelligence , mathematical analysis , biology , genetics , programming language
We consider an important generalization of the vehicle routing problem with time windows in which a fixed cost must be paid for accessing a set of edges. This fixed cost could reflect payment for toll roads, investment in new facilities, the need for certifications, and other costly investments. The certifications and investments impose a cost for the company while they also give unlimited usage of a set of roads to all vehicles belonging to the company.This violates the traditional assumption that the path between two destinations is well defined and independent of other choices. Different versions for defining the edge sets are discussed and formulated. Both the multigraph case and the direct path case are described, and mixed-integer-programming formulations of the problem are presented for both cases. A solution method based on branch-price-and-cut is applied to the direct path case. The computational results show that instances with up to 40 customers can be solved in a reasonable time, and that the branch-cut-and-price algorithm generally outperforms CPLEX.
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