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research article

Decremental state space relaxation strategies and initialization heuristics for solving the orienteering problem with time windows with dynamic programming

Righini, G.
•
Salani, Matteo  
2009
Computers & Operations Research

We present an exact optimization algorithm for the Orienteering Problem with Time Windows (OPTW). The algorithm is based on bi-directional and bounded dynamic programming with decremental state space relaxation. We compare different strategies proposed in the literature to guide decremental state space relaxation: our experiments on instances derived from the literature show that there is no dominance between these strategies. We also propose a new heuristic technique to initialize the critical vertex set and we provide experimental evidence of its effectiveness

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Type
research article
DOI
10.1016/j.cor.2008.01.003
Author(s)
Righini, G.
Salani, Matteo  
Date Issued

2009

Published in
Computers & Operations Research
Volume

36

Issue

4

Start page

1191

End page

1203

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
TRANSP-OR  
Available on Infoscience
February 15, 2008
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/18353
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