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 language | English |
|---|---|
| Article number | 115774 |
| Journal | Theoretical Computer Science |
| Volume | 1068 |
| DOIs | |
| State | Published - 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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