Title
The Constrained Forward Shortest Path Tour Problem: Mathematical Modeling And Grasp Approximate Solutions
Abstract
This paper deals with the Constrained Forward Shortest Path Tour Problem, an NP-complete variant of the Forward Shortest Path Tour Problem. Given a directed weighted graph G = (V, A), where the set of nodes V is partitioned into clusters T-1, horizontal ellipsis , T-N, the aim is determining a shortest path between two given nodes, s and d, with the properties that clusters must be visited according to a given order, and each arc can be crossed at most once. We introduce a mathematical formulation of the problem, and a reduction procedure to reduce the number of variables involved in the model. Furthermore, we propose a Greedy Randomized Adaptive Search Procedure (GRASP) algorithm to solve large instances of the problem. Computational tests show that the reduction procedure is very effective and its application significantly speeds up the resolution of the model. Moreover, the computational results certify the effectiveness of GRASP that often finds the optimal solution and, in general, provides quickly high-quality sub-optimal solutions.
Year
DOI
Venue
2021
10.1002/net.22010
NETWORKS
Keywords
DocType
Volume
GRASP, network optimization, shortest path problems
Journal
78
Issue
ISSN
Citations 
1
0028-3045
1
PageRank 
References 
Authors
0.35
0
5
Name
Order
Citations
PageRank
Francesco Carrabs110.35
Ciriaco D'Ambrosio2343.69
Daniele Ferone310.35
Paola Festa428725.32
Federica Laureana510.35