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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
Black and White Bin Packing Revisited

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Indexed by:Conference Paper

Date of Publication:2015-12-18

Included Journals:Scopus、CPCI-S、EI

Volume:9486

Page Number:45-59

Abstract:The black and white bin packing problem is a variant of the classical bin packing problem, where in addition to a size, each item also has a color (black or white), and in each bin the colors of items must alternate. The problem has been studied extensively, but the best competitive online algorithm has competitiveness of 3. The competitiveness of 3 can be forced even when the sizes of items are 'halved', i.e. the sizes are restricted to be in (0, 1/2]. We give the first 'better than 3' competitive algorithm for the problem for the case that item sizes are in the range (0, 1/2]; our algorithm has competitiveness 8 3