Solving the Set Packing Problem via a Maximum Weighted Independent Set Heuristic

Author:

Li Ruizhi12,Wang Yupan3,Hu Shuli3,Jiang Jianhua1,Ouyang Dantong2ORCID,Yin Minghao34ORCID

Affiliation:

1. School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China

2. School of Computer Science and Technology, Jilin University, Changchun 130012, China

3. School of Computer Science and Information Technology, Northeast Normal University, Changchun 130024, China

4. Key Laboratory of Applied Statistics of MOE, Northeast Normal University, Changchun 130117, China

Abstract

The set packing problem (SPP) is a significant NP-hard combinatorial optimization problem with extensive applications. In this paper, we encode the set packing problem as the maximum weighted independent set (MWIS) problem and solve the encoded problem with an efficient algorithm designed to the MWIS problem. We compare the independent set-based method with the state-of-the-art algorithms for the set packing problem on the 64 standard benchmark instances. The experimental results show that the independent set-based method is superior to the existing algorithms in terms of the quality of the solutions and running time obtained the solutions.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Reference47 articles.

1. Routing trains through a railway station based on a node packing model;J. Z. Peter;European Journal of Operational Research,2001

2. Combinatorial auctions: a survey;D. V. Sven;Informs Journal on Computing,2003

3. A set packing approach for scheduling elective surgical procedures;R. Vela´squez,2006

4. Online set packing;E. Yuval;SIAM Journal on Computing,2012

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3