{"title":"对自私的垃圾箱包装的无政府状态的价格的新限制和部分惩罚","authors":"Xiaowei Li, Peihai Liu, Xiwen Lu","doi":"10.1007/s10878-024-01239-2","DOIUrl":null,"url":null,"abstract":"<p>The selfish bin packing with partial punishment is studied in this paper. In this problem, the utility of an item is defined as the load of the bin it is in. Each item plays the role of a selfish agent and wants to maximize its own utility. If an item with size <span>\\(s_i\\)</span> moves to another bin, it has to pay the partial punishment of <span>\\(\\alpha s_{i}\\)</span>, where <span>\\(0<\\alpha <1\\)</span>. We prove that the price of anarchy (<i>PoA</i>) of this game is at least 1.6424 for any <span>\\(\\alpha \\in (0,1)\\)</span>. In particular, the <i>PoA</i> of this game is at least <span>\\(5/3 \\approx 1.6667\\)</span> for any <span>\\(\\alpha \\in (\\frac{2}{5},1)\\)</span>. Furthermore, we obtain a new upper bound of <span>\\(h(\\alpha ) \\le 31/18 \\approx 1.7222\\)</span> on the <i>PoA</i>.</p>","PeriodicalId":50231,"journal":{"name":"Journal of Combinatorial Optimization","volume":"66 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New bounds on the price of anarchy of selfish bin packing with partial punishment\",\"authors\":\"Xiaowei Li, Peihai Liu, Xiwen Lu\",\"doi\":\"10.1007/s10878-024-01239-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The selfish bin packing with partial punishment is studied in this paper. In this problem, the utility of an item is defined as the load of the bin it is in. Each item plays the role of a selfish agent and wants to maximize its own utility. If an item with size <span>\\\\(s_i\\\\)</span> moves to another bin, it has to pay the partial punishment of <span>\\\\(\\\\alpha s_{i}\\\\)</span>, where <span>\\\\(0<\\\\alpha <1\\\\)</span>. We prove that the price of anarchy (<i>PoA</i>) of this game is at least 1.6424 for any <span>\\\\(\\\\alpha \\\\in (0,1)\\\\)</span>. In particular, the <i>PoA</i> of this game is at least <span>\\\\(5/3 \\\\approx 1.6667\\\\)</span> for any <span>\\\\(\\\\alpha \\\\in (\\\\frac{2}{5},1)\\\\)</span>. Furthermore, we obtain a new upper bound of <span>\\\\(h(\\\\alpha ) \\\\le 31/18 \\\\approx 1.7222\\\\)</span> on the <i>PoA</i>.</p>\",\"PeriodicalId\":50231,\"journal\":{\"name\":\"Journal of Combinatorial Optimization\",\"volume\":\"66 1\",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Combinatorial Optimization\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1007/s10878-024-01239-2\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Combinatorial Optimization","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s10878-024-01239-2","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
New bounds on the price of anarchy of selfish bin packing with partial punishment
The selfish bin packing with partial punishment is studied in this paper. In this problem, the utility of an item is defined as the load of the bin it is in. Each item plays the role of a selfish agent and wants to maximize its own utility. If an item with size \(s_i\) moves to another bin, it has to pay the partial punishment of \(\alpha s_{i}\), where \(0<\alpha <1\). We prove that the price of anarchy (PoA) of this game is at least 1.6424 for any \(\alpha \in (0,1)\). In particular, the PoA of this game is at least \(5/3 \approx 1.6667\) for any \(\alpha \in (\frac{2}{5},1)\). Furthermore, we obtain a new upper bound of \(h(\alpha ) \le 31/18 \approx 1.7222\) on the PoA.
期刊介绍:
The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering.
The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.