English

Reallocating Multiple Facilities on the Line

Data Structures and Algorithms 2019-05-30 v1 Computer Science and Game Theory

Abstract

We study the multistage KK-facility reallocation problem on the real line, where we maintain KK facility locations over TT stages, based on the stage-dependent locations of nn agents. Each agent is connected to the nearest facility at each stage, and the facilities may move from one stage to another, to accommodate different agent locations. The objective is to minimize the connection cost of the agents plus the total moving cost of the facilities, over all stages. KK-facility reallocation was introduced by de Keijzer and Wojtczak, where they mostly focused on the special case of a single facility. Using an LP-based approach, we present a polynomial time algorithm that computes the optimal solution for any number of facilities. We also consider online KK-facility reallocation, where the algorithm becomes aware of agent locations in a stage-by-stage fashion. By exploiting an interesting connection to the classical KK-server problem, we present a constant-competitive algorithm for K=2K = 2 facilities.

Cite

@article{arxiv.1905.12379,
  title  = {Reallocating Multiple Facilities on the Line},
  author = {Dimitris Fotakis and Loukas Kavouras and Panagiotis Kostopanagiotis and Philip Lazos and Stratis Skoulakis and Nikolas Zarifis},
  journal= {arXiv preprint arXiv:1905.12379},
  year   = {2019}
}
R2 v1 2026-06-23T09:31:27.607Z