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Cardinality constrained bin-packing problems
DOI:10.1023/A:1018947117526.png)
Abstract
En 中文
We are concerned with a variant of the classical one-dimensional bin-packing problem. n items have to be packed into unit-capacity bins such that the total number of used bins is minimized with the additional constraint that at most k items can be assigned to one bin. In 1975, Krause et al. analyzed several approximation algorithms for this problem and showed that they all have an asymptotic worst-case performance ratio of 2. No better algorithms have been found so far. We present a new heuristic with an asymptotic worst-case bound of 3/2 and O(n log(2) n) running time.
Keywords:
bin-packing
vector packing
worst-case analysis
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