Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/88764
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Type: Conference paper
Title: On the advice complexity of one-dimensional online bin packing
Author: Zhao, X.
Shen, H.
Citation: Lecture Notes in Artificial Intelligence, 2014 / Chen, J., Hopcroft, J., Wang, J. (ed./s), vol.8497 LNCS, pp.320-329
Publisher: Springer Verlag
Issue Date: 2014
Series/Report no.: Lecture Notes in Computer Science; 8497
ISBN: 9783319080154
ISSN: 0302-9743
1611-3349
Conference Name: International Frontiers of Algorithmics Workshop (FAW) (28 Jun 2014 - 30 Jun 2014 : Zhangjiajie, China)
Editor: Chen, J.
Hopcroft, J.
Wang, J.
Statement of
Responsibility: 
Xiaofan Zhao and Hong Shen
Abstract: In this paper, we study the problem of the online bin packing with advice. Assume that there is an oracle with infinite computation power which can provide specific information with regard to each incoming item of the online bin packing problem. With this information, we want to pack the list L of items, one at a time, into a minimum number of bins. The bin capacity is 1 and all items have size no larger than 1. The total size of packed items in each bin cannot exceed the bin capacity. Inspired by Boyar et al’s work [1] of competitive ratio 43 [1] with two advice bits per item., we show that if the oracle provides three bits of advice per item, applying a different item classification scheme from Boyar et al’s we can obtain an online algorithm with competitive ratio 54OPT+2 to pack list L.
Keywords: bin packing
online algorithm
computation with advice
competitive ratio
Rights: © Springer International Publishing Switzerland 2014
DOI: 10.1007/978-3-319-08016-1_29
Published version: http://dx.doi.org/10.1007/978-3-319-08016-1_29
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Computer Science publications

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