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Removable Online Knapsack with Bounded Size Items

Published: 19 February 2024 Publication History

Abstract

In the online unweighted knapsack problem, some items arrive in sequence and one has to decide to pack them or not into a knapsack of given capacity. The objective is to maximize the total size of packed items. In the traditional setting, decisions are irrevocable, and the problem cannot admit any ρ-competitive algorithm. The removable nature of the items allows to withdraw previously packed elements of the current solution. This feature makes the online knapsack problem amenable to competitive analysis under the ratio of (5-1)/2, which is at the same time the best possible performance guarantee [12]. This article deals with refinements of the best possible competitive ratio of the online unweighted knapsack problem with removable items when either an upper or a lower bound on the size of the items is known.

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Published In

cover image Guide Proceedings
SOFSEM 2024: Theory and Practice of Computer Science: 49th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2024, Cochem, Germany, February 19–23, 2024, Proceedings
Feb 2024
513 pages
ISBN:978-3-031-52112-6
DOI:10.1007/978-3-031-52113-3
  • Editors:
  • Henning Fernau,
  • Serge Gaspers,
  • Ralf Klasing

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 19 February 2024

Author Tags

  1. Online Algorithms
  2. Knapsack
  3. Competitive analysis

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