Abstract
The bin packing problem asks for a packing of a list of items from [0, 1] into the smallest possible number of bins having unit capacity. The k-item bin packing problem additionally imposes the constraint that at most k items are allowed in one bin. We present two efficient approximation algorithms for the on-line version of this problem. We show that, for increasing values of k, the asymptotic worst-case performance ratio of the first algorithm tends towards 2 and that the second algorithm has an asymptotic worst-case performance ratio of 2. Both heuristics considerably improve upon the best known result 2.7 of Krause, Shen and Schwetman. Moreover, we present algorithms for k = 2 and k = 3, where the result for k = 2 is best possible.
Supported by the Deutsche Forschungsgemeinschaft
Supported by the ESRC Management Research Fellowship.
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© 2001 Springer-Verlag Berlin Heidelberg
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Babel, L., Chen, B., Kellerer, H., Kotov, V. (2001). On-Line Algorithms for Cardinality Constrained Bin Packing Problems. In: Eades, P., Takaoka, T. (eds) Algorithms and Computation. ISAAC 2001. Lecture Notes in Computer Science, vol 2223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45678-3_59
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DOI: https://doi.org/10.1007/3-540-45678-3_59
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