{"title":"Analysis of the two-for-one swap heuristic for approximating the maximum independent set in a k-polymatroid","authors":"Adrian Calinescu , Gruia Călinescu","doi":"10.1016/j.orl.2024.107217","DOIUrl":null,"url":null,"abstract":"<div><div>Let <span><math><mi>f</mi><mo>:</mo><msup><mrow><mn>2</mn></mrow><mrow><mi>N</mi></mrow></msup><mo>→</mo><msup><mrow><mi>Z</mi></mrow><mrow><mo>+</mo></mrow></msup></math></span> be a polymatroid (an integer-valued non-decreasing submodular set function with <span><math><mi>f</mi><mo>(</mo><mo>∅</mo><mo>)</mo><mo>=</mo><mn>0</mn></math></span>). A <em>k</em>-polymatroid satisfies that <span><math><mi>f</mi><mo>(</mo><mi>e</mi><mo>)</mo><mo>≤</mo><mi>k</mi></math></span> for all <span><math><mi>e</mi><mo>∈</mo><mi>N</mi></math></span>. We call <span><math><mi>S</mi><mo>⊆</mo><mi>N</mi></math></span> <em>independent</em> if <span><math><mi>f</mi><mo>(</mo><mi>S</mi><mo>)</mo><mo>=</mo><msub><mrow><mo>∑</mo></mrow><mrow><mi>e</mi><mo>∈</mo><mi>S</mi></mrow></msub><mi>f</mi><mo>(</mo><mi>e</mi><mo>)</mo></math></span> and <span><math><mi>f</mi><mo>(</mo><mi>e</mi><mo>)</mo><mo>></mo><mn>0</mn></math></span> for all <span><math><mi>e</mi><mo>∈</mo><mi>S</mi></math></span>. Such a set was also called a <em>matching</em>. Finding a maximum-size independent set in a 2-polymatroid has been studied and polynomial-time algorithms are known for linear polymatroids. For <span><math><mi>k</mi><mo>≥</mo><mn>3</mn></math></span>, the problem is NP-hard, and a <span><math><mo>(</mo><mo>(</mo><mn>2</mn><mo>/</mo><mi>k</mi><mo>)</mo><mo>−</mo><mi>ϵ</mi><mo>)</mo></math></span>-approximation is known and is obtained by swapping as long as possible a subset of up to <span><math><msup><mrow><mo>(</mo><mn>1</mn><mo>/</mo><mi>ϵ</mi><mo>)</mo></mrow><mrow><msub><mrow><mi>log</mi></mrow><mrow><mi>k</mi><mo>−</mo><mn>1</mn></mrow></msub><mo></mo><mo>(</mo><mn>2</mn><mi>k</mi><mo>+</mo><mn>1</mn><mo>)</mo></mrow></msup></math></span> elements from the current solution by a set with one more element.</div><div>Here we give a simple analysis of the more particular two-for-one repeated swapping heuristic, obtaining a tight (weaker) <span><math><mo>(</mo><mn>2</mn><mo>/</mo><mo>(</mo><mi>k</mi><mo>+</mo><mn>1</mn><mo>)</mo><mo>)</mo></math></span>-approximation.</div></div>","PeriodicalId":54682,"journal":{"name":"Operations Research Letters","volume":"59 ","pages":"Article 107217"},"PeriodicalIF":0.8000,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Operations Research Letters","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167637724001536","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Let be a polymatroid (an integer-valued non-decreasing submodular set function with ). A k-polymatroid satisfies that for all . We call independent if and for all . Such a set was also called a matching. Finding a maximum-size independent set in a 2-polymatroid has been studied and polynomial-time algorithms are known for linear polymatroids. For , the problem is NP-hard, and a -approximation is known and is obtained by swapping as long as possible a subset of up to elements from the current solution by a set with one more element.
Here we give a simple analysis of the more particular two-for-one repeated swapping heuristic, obtaining a tight (weaker) -approximation.
期刊介绍:
Operations Research Letters is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. Apart from a limitation to eight journal pages, quality, originality, relevance and clarity are the only criteria for selecting the papers to be published. ORL covers the broad field of optimization, stochastic models and game theory. Specific areas of interest include networks, routing, location, queueing, scheduling, inventory, reliability, and financial engineering. We wish to explore interfaces with other fields such as life sciences and health care, artificial intelligence and machine learning, energy distribution, and computational social sciences and humanities. Our traditional strength is in methodology, including theory, modelling, algorithms and computational studies. We also welcome novel applications and concise literature reviews.