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  1. 学術雑誌論文
  2. 4 自然科学

Experimental Evaluation of Approximation Algorithms for Maximum Distance-Bounded Subgraph Problems

http://hdl.handle.net/10228/0002000055
http://hdl.handle.net/10228/0002000055
c74b0119-0414-4dd5-b86f-6f593f29061a
名前 / ファイル ライセンス アクション
10347454.pdf 10347454.pdf (640 KB)
アイテムタイプ 学術雑誌論文 = Journal Article(1)
公開日 2023-08-10
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
タイトル
タイトル Experimental Evaluation of Approximation Algorithms for Maximum Distance-Bounded Subgraph Problems
言語 en
言語
言語 eng
著者 Asahiro, Yuichi

× Asahiro, Yuichi

en Asahiro, Yuichi

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Kubo, Tomohiro

× Kubo, Tomohiro

en Kubo, Tomohiro

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宮野, 英次

× 宮野, 英次

WEKO 6037
e-Rad 10284548
Scopus著者ID 6603649200
ORCiD 0000-0002-4260-7818
九工大研究者情報 233

en Miyano, Eiji

ja 宮野, 英次

ja-Kana ミヤノ, エイジ


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内容記述タイプ Other
内容記述 In this paper we consider two distance-based relaxed variants of the maximum clique problem (MAX CLIQUE), named MAX d-CLIQUE and MAX d-CLUB: A d-clique in a graph G is a subset S ⊆ V(G) of vertices such that for pairs of vertices u, v ε S, the distance between u and v is at most d in G. A d-club in a graph G is a subset S' ⊆ V(G) of vertices that induces a subgraph of G of diameter at most d. MAX d-CLIQUE and MAX d-CLUB ask to find a maximum d-clique and a maximum d-club in a given unweighted graph, respectively. MAX 1-CLIQUE and MAX 1-CLUB cannot be efficiently approximated within a factor of n1-ε for any ε > 0 unless P = NP since they are identical to MAX CLIQUE [1], [2]. Also, it is known [3], [4] that it is NP-hard to approximate MAX d-CLIQUE and MAX d-CLUB to within a factor of n1/2-ε for any fixed d ≥ 2 and any ε > 0. As for approximability of MAX d-CLIQUE and MAX d-CLUB, [3] proposes a polynomial-time algorithm, called ByFindStard, and proves that its approximation ratio is O(n1/2) and O(n2/3) for any even d ≥ 2 and for any odd d ≥ 3, respectively. Very recently, a polynomial-time algorithm, called ByFindStar2d, achieving an optimal approximation ratio of O(n1/2) for MAX d-CLIQUE and MAX d-CLUB is designed for any odd d ≥ 3 in [4]. In this paper we implement those approximation algorithms and evaluate their quality empirically for random graphs Gn,p, which have n vertices and each edge appears with probability p. The experimental results show that (i) ByFindStar2d of approximation ratio O(n1/2) can find larger d-clubs (d-cliques) than ByFindStard of approximation ratio O(n2/3) for odd d, (ii) the size of d-clubs (d-cliques) output by ByFindStard is the same as ones by ByFindStar2d for even d, and (iii) ByFindStard can find the same size of d-clubs (d-cliques) much faster than ByFindStar2d.
備考
内容記述タイプ Other
内容記述 Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2016), 25-28 August, 2016, Sapporo, Japan
書誌情報 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS)

p. 892-897, 発行日 2016-12-26
出版社
出版者 IEEE
DOI
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/SCIS-ISIS.2016.0193
ISBN
識別子タイプ ISBN
関連識別子 978-1-5090-2678-4
ISBN
識別子タイプ ISBN
関連識別子 978-1-5090-2679-1
著作権関連情報
権利情報 Copyright (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
査読の有無
値 yes
研究者情報
URL https://hyokadb02.jimu.kyutech.ac.jp/html/233_ja.html
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