Algorithms for the metric ring star problem with fixed edge-cost ratio
Xujin Chen,
Xiaodong Hu,
Xiaohua Jia,
Zhongzheng Tang,
Chenhao Wang () and
Ying Zhang
Additional contact information
Xujin Chen: Chinese Academy of Sciences
Xiaodong Hu: Chinese Academy of Sciences
Xiaohua Jia: City University of Hong Kong
Zhongzheng Tang: Chinese Academy of Sciences
Chenhao Wang: Chinese Academy of Sciences
Ying Zhang: Beijing Electronic Science and Technology Institute
Journal of Combinatorial Optimization, 2021, vol. 42, issue 3, No 10, 499-523
Abstract:
Abstract We address the metric ring star problem with fixed edge-cost ratio, abbreviated as RSP. Given a complete graph $$G=(V,E)$$ G = ( V , E ) with a specified depot node $$d\in V$$ d ∈ V , a nonnegative cost function $$c\in \mathbb {R}_+^E$$ c ∈ R + E on E which satisfies the triangle inequality, and an edge-cost ratio $$M\ge 1$$ M ≥ 1 , the RSP is to locate a ring $$R=(V',E')$$ R = ( V ′ , E ′ ) in G, a simple cycle through d or d itself, aiming to minimize the sum of two costs: the cost for constructing ring R, i.e., $$M\cdot \sum _{e\in E'}c(e)$$ M · ∑ e ∈ E ′ c ( e ) , and the cost for attaching nodes in $$V{\setminus } V'$$ V \ V ′ to their closest ring nodes (in R), i.e., $$\sum _{u\in V{\setminus } V'}\min _{v\in V'}c(uv)$$ ∑ u ∈ V \ V ′ min v ∈ V ′ c ( u v ) . We show that the singleton ring d is an optimal solution of the RSP when $$M\ge (|V|-1)/2$$ M ≥ ( | V | - 1 ) / 2 . This particularly implies a $$\sqrt{|V|-1}$$ | V | - 1 -approximation algorithm for the RSP with any $$M\ge 1$$ M ≥ 1 . We present randomized 3-approximation algorithm and deterministic 5.06-approximation algorithm for the RSP, by adapting algorithms for the tour-connected facility location problem (tour-CFLP) and single-source rent-or-buy problem due to Eisenbrand et al. and Williamson and van Zuylen, respectively. Building on the PTAS of Eisenbrand et al. for the tour-CFLP, we give a PTAS for the RSP with $$|V|/M=O(1)$$ | V | / M = O ( 1 ) . We also consider the capacitated RSP (CRSP) which puts an upper limit k on the number of leaf nodes that a ring node can serve, and present a $$(10+6M/k)$$ ( 10 + 6 M / k ) -approximation algorithm for this capacitated generalization. Heuristics based on some natural strategies are proposed for both the RSP and CRSP. Simulation results demonstrate that the proposed approximation and heuristic algorithms have good practical performances.
Keywords: Ring star; Approximation algorithms; Heuristics; Local search; Connected facility location (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s10878-019-00418-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jcomop:v:42:y:2021:i:3:d:10.1007_s10878-019-00418-w
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10878
DOI: 10.1007/s10878-019-00418-w
Access Statistics for this article
Journal of Combinatorial Optimization is currently edited by Thai, My T.
More articles in Journal of Combinatorial Optimization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().