Title
Arc flow formulations based on dynamic programming: Theoretical foundations and applications
Abstract
•Derivation of arc flow models from an underlying dynamic programming network.•Structure of arc-flow models: primal and dual insights.•Review of state space relaxation as a tool to balance the size and strength of models.•Review of general solution methods.•Review applications in different areas, as, e.g., cutting, scheduling and routing.
Year
DOI
Venue
2022
10.1016/j.ejor.2021.04.024
European Journal of Operational Research
Keywords
DocType
Volume
Combinatorial optimization,Arc flow,Dynamic programming,Acyclic network,Pseudo-polynomial
Journal
296
Issue
ISSN
Citations 
1
0377-2217
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Vinícius L. de Lima100.34
Cláudio Alves218416.29
François Clautiaux324817.16
Manuel Iori479046.05
J. M. Valério de Carvalho5654.53