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More on online cardinality constrained bin packing with small cardinality bounds

  • János Balogh
  • , József Békési
  • , György Dósa
  • , Leah Epstein
  • , Asaf Levin

Research output: Contribution to journalArticlepeer-review

Abstract

We revisit online bin packing with cardinality constraints. In this problem, a set of items of positive sizes not larger than 1 and an integer parameter k ≥ 2 are given. The goal is to partition the items into the minimum number of valid bins, where a valid bin is a set of at most k items whose total size is at most 1. We provide better bounds on the asymptotic competitive ratio for cardinality constrained bin packing for k=3, showcasing current methods for designing algorithms for bin packing problems. We extend the lower bound construction for k=3 for other values of k, improving all known lower bounds on the best possible asymptotic competitive ratio for small k ≥ 3.

Original languageEnglish
Article number115774
JournalTheoretical Computer Science
Volume1068
DOIs
StatePublished - 13 Apr 2026

Bibliographical note

Publisher Copyright:
© 2026 The Author(s)

Keywords

  • Asymptotic competitive ratio
  • Bin packing
  • Cardinality constraints
  • Competitive analysis
  • Online algorithms

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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