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中文
Xin Han

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Academic Titles:Professor
Gender:Male
Alma Mater:Kyoto University
Degree:Doctoral Degree
School/Department:Software School
Discipline:Computer Software and Theory
Operation Research and Control Theory
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Current position: Home >> Scientific Research >> Paper Publications
Online bin packing problem with buffer and bounded size revisited

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Indexed by:Journal Article

Date of Publication:2017-02-01

Journal:JOURNAL OF COMBINATORIAL OPTIMIZATION

Included Journals:EI、SCIE

Volume:33

Issue:2

Page Number:530-542

ISSN:1382-6905

Key Words:Bin packing; Online algorithm; Asymptotic competitive ratio

Abstract:In this paper we study the online bin packing with buffer and bounded size, i.e., there are items with size within where , and there is a buffer with constant size. Each time when a new item is given, it can be stored in the buffer temporarily or packed into some bin, once it is packed in the bin, we cannot repack it. If the input is ended, the items in the buffer should be packed into bins too. In our setting, any time there is at most one bin open, i.e., that bin can accept new items, and all the other bins are closed. This problem is first studied by Zheng et al. (J Combin Optim 30(2):360-369, 2015), and they proposed a 1.4444-competitive algorithm and a lower bound 1.3333 on the competitive ratio. We improve the lower bound from 1.3333 to 1.4230, and the upper bound from 1.4444 to 1.4243.