Competitive location problems : balanced facility location and the one-round Manhattan Voronoi game
Byrne, Thomas and Fekete, Sándor P. and Kalcsics, Jörg and Kleist, Linda; Uehara, Ryuhei and Hong, Seok-Hee and Nandy, Subhas C., eds. (2021) Competitive location problems : balanced facility location and the one-round Manhattan Voronoi game. In: WALCOM. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer, Virtual, Online, pp. 103-115. ISBN 9783030682118 (https://doi.org/10.1007/978-3-030-68211-8_9)
Preview |
Text.
Filename: Byrne_etal_WALCOM2021_Competitive_location_problems.pdf
Accepted Author Manuscript License: Strathprints license 1.0 Download (2MB)| Preview |
Abstract
We study competitive location problems in a continuous setting, in which facilities have to be placed in a rectangular domain R of normalized dimensions of 1 and ρ≥ 1, and distances are measured according to the Manhattan metric. We show that the family of balanced configurations (in which the Voronoi cells of individual facilities are equalized with respect to geometric properties) is richer in this metric than for Euclidean distances. Our main result considers the One-Round Voronoi Game with Manhattan distances, in which first player White and then player Black each place n points in R; each player scores the area for which one of its facilities is closer than the facilities of the opponent. We give a tight characterization: White has a winning strategy if and only if ρ≥ n ; for all other cases, we present a winning strategy for Black.
ORCID iDs
Byrne, Thomas ORCID: https://orcid.org/0000-0003-0548-4086, Fekete, Sándor P., Kalcsics, Jörg and Kleist, Linda; Uehara, Ryuhei, Hong, Seok-Hee and Nandy, Subhas C.-
-
Item type: Book Section ID code: 79548 Dates: DateEvent16 February 2021PublishedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 10 Feb 2022 13:45 Last modified: 11 Nov 2024 15:27 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/79548