G-DMP: An algorithm without Constraint Relaxation to solve the Train Departure Matching Problem
G-DMP: An algorithm without Constraint Relaxation to solve the Train Departure Matching Problem
Alondra Rojas, Elizabeth Montero and Maria-Cristina Riff
Alondra Rojas, Elizabeth Montero and Maria-Cristina Riff
Universidad Tecnica Federico Santa Maria, Chile
Universidad Tecnica Federico Santa Maria, Chile
Universidad Tecnica Federico Santa Maria, Chile
Universidad Tecnica Federico Santa Maria, Chile
Universidad Tecnica Federico Santa Maria, Chile
Universidad Tecnica Federico Santa Maria, Chile
In this work we present a GRASP based approach for solving the departure matching
problem, an important subproblem of the Rolling Stock Units Management problem. Our
approach implements a constructive and a Local Search steps that are able to deal
with all the constraints and costs related to the problem. We evaluate our approach
using two sets of instances: a set of randomly generated instances and the set of
instances used in ROADEF/EURO Challenge 2014.