个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:Professor
性别:男
毕业院校:日本京都大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:计算机软件与理论. 运筹学与控制论
联系方式:hanxin@dlut.edu.cn
A New Upper Bound 2.5545 on 2D Online Bin Packing
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论文类型:期刊论文
发表时间:2011-09-01
发表刊物:ACM TRANSACTIONS ON ALGORITHMS
收录刊物:Scopus、SCIE、EI
卷号:7
期号:4
ISSN号:1549-6325
关键字:Online algorithms; bin packing problems; competitive ratio
摘要:The 2D Online Bin Packing is a fundamental problem in Computer Science and the determination of its asymptotic competitive ratio has research attention. In a long series of papers, the lower bound of this ratio has been improved from 1.808, 1.856 to 1.907 and its upper bound reduced from 3.25, 3.0625, 2.8596, 2.7834 to 2.66013. In this article, we rewrite the upper bound record to 2.5545. Our idea for the improvement is as follows.
In 2002, Seiden and van Stee [Seiden and van Stee 2003] proposed an elegant algorithm called H. C, comprised of the Harmonic algorithm H and the Improved Harmonic algorithm C, for the two-dimensional online bin packing problem and proved that the algorithm has an asymptotic competitive ratio of at most 2.66013. Since the best known online algorithm for one-dimensional bin packing is the Super Harmonic algorithm [Seiden 2002], a natural question to ask is: could a better upper bound be achieved by using the Super Harmonic algorithm instead of the Improved Harmonic algorithm? However, as mentioned in Seiden and van Stee [2003], the previous analysis framework does not work. In this article, we give a positive answer for this question. A new upper bound of 2.5545 is obtained for 2-dimensional online bin packing. The main idea is to develop new weighting functions for the Super Harmonic algorithm and propose new techniques to bound the total weight in a rectangular bin.