Title
Acceleration strategies for the weight constrained shortest path problem with replenishment.
Abstract
The weight constrained shortest path problem with replenishment (WCSPP-R) generalizes the constrained shortest path problem (CSP) and has multiple applications in transportation, scheduling, and telecommunications. We present an exact algorithm based on a recursive depth-first search that combines and extends ideas proposed in state-of-the-art algorithms for the CSP and the WCSPP-R. The novelty lies in a set of acceleration strategies that significantly improves the algorithm's performance. We conducted experiments over large real-road networks with up to 6 million nodes and 15 million arcs, achieving speedups of up to 219 times against the state-of-the-art algorithm.
Year
DOI
Venue
2014
10.1007/s11590-014-0742-x
Optimization Letters
Keywords
Field
DocType
Constrained shortest path problem,replenishment,large-scale networks
Canadian traveller problem,Mathematical optimization,Shortest path problem,Constrained Shortest Path First,Yen's algorithm,Shortest job next,Shortest Path Faster Algorithm,Mathematics,Euclidean shortest path,K shortest path routing
Journal
Volume
Issue
ISSN
8
8
1862-4472
Citations 
PageRank 
References 
3
0.42
9
Authors
3
Name
Order
Citations
PageRank
Manuel A. Bolívar161.17
Leonardo Lozano2594.52
Andrés L. Medaglia3282.76