Solving the Probabilistic Profitable Tour Problem on a Tree
October 21, 2022 Β· Declared Dead Β· π Mathematics of Operations Research
"No code URL or promise found in abstract"
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Authors
Enrico Angelelli, Renata Mansini, Romeo Rizzi
arXiv ID
2210.11881
Category
cs.DS: Data Structures & Algorithms
Cross-listed
math.OC
Citations
0
Venue
Mathematics of Operations Research
Last Checked
5 months ago
Abstract
The profitable tour problem (PTP) is a well-known NP-hard routing problem searching for a tour visiting a subset of customers while maximizing profit as the difference between total revenue collected and traveling costs. PTP is known to be solvable in polynomial time when special structures of the underlying graph are considered. However, the computational complexity of the corresponding probabilistic generalizations is still an open issue in many cases. In this paper, we analyze the probabilistic PTP where customers are located on a tree and need, with a known probability, for a service provision at a predefined prize. The problem objective is to select a priori a subset of customers with whom to commit the service so to maximize the expected profit. We provide a polynomial time algorithm computing the optimal solution in $O(n^2)$, where $n$ is the number of nodes in the tree.
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