English

A Novel Approach to Solve K-Center Problems with Geographical Placement

Distributed, Parallel, and Cluster Computing 2020-06-03 v1 Computational Complexity Information Theory math.IT

Abstract

The facility location problem is a well-known challenge in logistics that is proven to be NP-hard. In this paper we specifically simulate the geographical placement of facilities to provide adequate service to customers. Determining reasonable center locations is an important challenge for a management since it directly effects future service costs. Generally, the objective is to place the central nodes such that all customers have convenient access to them. We analyze the problem and compare different placement strategies and evaluate the number of required centers. We use several existing approaches and propose a new heuristic for the problem. For our experiments we consider various scenarios and employ simulation to evaluate the performance of the optimization algorithms. Our new optimization approach shows a significant improvement. The presented results are generally applicable to many domains, e.g., the placement of military bases, the planning of content delivery networks, or the placement of warehouses.

Keywords

Cite

@article{arxiv.2006.01598,
  title  = {A Novel Approach to Solve K-Center Problems with Geographical Placement},
  author = {Peter Hillmann and Tobias Uhlig and Gabi Dreo Rodosek and Oliver Rose},
  journal= {arXiv preprint arXiv:2006.01598},
  year   = {2020}
}

Comments

International Conference on Service Operations and Logistics, and Informatics 2015. arXiv admin note: text overlap with arXiv:2005.13905

R2 v1 2026-06-23T15:59:32.766Z