Class constrained bin packing revisited

  • Authors:
  • Leah Epstein;Csanád Imreh;Asaf Levin

  • Affiliations:
  • Department of Mathematics, University of Haifa, 31905 Haifa, Israel;Department of Informatics, University of Szeged, 6720 Szeged, Hungary;Chaya fellow. Faculty of Industrial Engineering and Management, The Technion, 32000 Haifa, Israel

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2010

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Abstract

We study the following variant of the bin packing problem. We are given a set of items, where each item has a (non-negative) size and a color. We are also given an integer parameter k, and the goal is to partition the items into a minimum number of subsets such that for each subset S in the solution, the total size of the items in S is at most 1 (as in the classical bin packing problem) and the total number of colors of the items in S is at most k (which distinguishes our problem from the classical version). We follow earlier work on this problem and study the problem in both offline and online scenarios.