中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Approximation Algorithms for the Capacitated Min-Max Correlation Clustering Problem

文献类型:期刊论文

作者Ji, Sai1; Li, Jun2; Wu, Zijun3; Xu, Yicheng4,5
刊名ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH
出版日期2022-01-04
页码13
关键词Capacitated clustering min-max correlation clustering integrality gap approximation algorithm
ISSN号0217-5959
DOI10.1142/S0217595922400085
英文摘要In this paper, we propose a so-called capacitated min-max correlation clustering model, a natural variant of the min-max correlation clustering problem. As our main contribution, we present an integer programming and its integrality gap analysis for the proposed model. Furthermore, we provide two approximation algorithms for the model, one of which is a bi-criteria approximation algorithm and the other is based on LP-rounding technique.
资助项目National Natural Science Foundation of China[12101594] ; National Natural Science Foundation of China[12131003] ; National Natural Science Foundation of China[61906062] ; National Natural Science Foundation of China[11901558] ; China Postdoctoral Science Foundation[2021M693337] ; Beijing Natural Science Foundation Project[Z200002] ; Science Foundation the Anhui Education Department[KJ2019A0834] ; Science Foundation of Anhui Science and Technology Department[1908085QF262] ; talent project of Hefei University[18-19RC29] ; Guangxi Key Laboratory of Cryptography and Information Security[GCIS202116]
WOS研究方向Operations Research & Management Science
语种英语
WOS记录号WOS:000848880700001
出版者WORLD SCIENTIFIC PUBL CO PTE LTD
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/61062]  
专题中国科学院数学与系统科学研究院
通讯作者Wu, Zijun
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Beijing Univ Technol, Coll Stat & Data Sci, Beijing 100124, Peoples R China
3.Hefei Univ, Sch Artificial Intelligence & Big Data, Inst Appl Optimizat, Hefei 230000, Peoples R China
4.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
5.Guangxi Key Lab Cryptog & Informat Secur, Guilin 541004, Peoples R China
推荐引用方式
GB/T 7714
Ji, Sai,Li, Jun,Wu, Zijun,et al. Approximation Algorithms for the Capacitated Min-Max Correlation Clustering Problem[J]. ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH,2022:13.
APA Ji, Sai,Li, Jun,Wu, Zijun,&Xu, Yicheng.(2022).Approximation Algorithms for the Capacitated Min-Max Correlation Clustering Problem.ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH,13.
MLA Ji, Sai,et al."Approximation Algorithms for the Capacitated Min-Max Correlation Clustering Problem".ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH (2022):13.

入库方式: OAI收割

来源:数学与系统科学研究院

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