Budgeted Prize-Collecting Traveling Salesman and Minimum Spanning Tree Problems
Name
prize_tsp_extend.pdf
Description
Accepted version
Size
373.04 KB
Format
Adobe PDF
Checksum (MD5)
af68774d5942a222172d32bf79c2c4f0
Author(s)
Paul, Alice
Freund, Daniel
Ferber, Aaron
Shmoys, David B
Williamson, David P
Date Issued
2020
Journal
Mathematics of Operations Research
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Version
Author's final manuscript
Abstract
© 2019 INFORMS. We consider constrained versions of the prize-collecting traveling salesman and the prize-collecting minimum spanning tree problems. The goal is to maximize the number of vertices in the returned tour/tree subject to a bound on the tour/tree cost. Rooted variants of the problems have the additional constraint that a given vertex, the root, must be contained in the tour/tree. We present a 2-approximation algorithm for the rooted and unrooted versions of both the tree and tour variants. The algorithm is based on a parameterized primal-dual approach. It relies on first finding a threshold value for the dual variable corresponding to the budget constraint in the primal and then carefully constructing a tour/tree that is, in a precise sense, just within budget. We improve upon the best-known guarantee of 2 + ε for the rooted and unrooted tour versions and 3 + ε for the rooted and unrooted tree versions. Our analysis extends to the setting with weighted vertices, in which we want to maximize the total weight of vertices in the tour/tree. Interestingly enough, the algorithm and analysis for the rooted case and the unrooted case are almost identical.
MIT Department
Sloan School of Management
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1287/MOOR.2019.1002
