On-line maximizing the number of items packed in variable-sized bins

Leah Epstein, Lene M. Favrholdt

Research output: Contribution to journalArticlepeer-review


We study an on-line bin packing problem. A fixed number n of bins, possibly of different sizes, are given. The items arrive on-line, and the goal is to pack as many items as possible. It is known that there exists a legal packing of the whole sequence in the n bins. We consider fair algorithms that reject an item, only if it does not fit in the empty space of any bin. We show that the competitive ratio of any fair, deterministic algorithm lies between 1/2 and 2/3, and that a class of algorithms including Best-Fit has a competitive ratio of exactly n/2n-1.

Original languageEnglish
Pages (from-to)57-66
Number of pages10
JournalActa Cybernetica
Issue number1
StatePublished - 2003
Externally publishedYes


  • Bin packing
  • On-Line

ASJC Scopus subject areas

  • Software
  • Computer Science (miscellaneous)
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research
  • Information Systems and Management
  • Electrical and Electronic Engineering


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