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A survey of online knapsack problems

Discrete Applied Mathematics, vol. 378, pp. 492–507

Abstract

We survey the current state of research on the knapsack problem in online and semi-online environments. In particular, we summarize what is known about models where different assumptions commonly made in online computation are relaxed: namely that online algorithms do not know the complete instances they are processing; have to make decisions that are irrevocable; and deal with an input chosen by a malicious adversary.

Authors 5

  1. ETH Zurich

    Affiliation as printed

    ETH Zurich, Department of Computer Science, Universitätstrasse 6, 8092, Zürich, Switzerland

  2. ETH Zurich

    Affiliation as printed

    ETH Zurich, Department of Computer Science, Universitätstrasse 6, 8092, Zürich, Switzerland

  3. ETH Zurich

    Affiliation as printed

    ETH Zurich, Department of Computer Science, Universitätstrasse 6, 8092, Zürich, Switzerland

  4. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University, Department of Computer Science, Ahornstrasse 55, 52056, Aachen, Germany

  5. Moritz Stocker corresponding

    ETH Zurich

    Affiliation as printed

    ETH Zurich, Department of Computer Science, Universitätstrasse 6, 8092, Zürich, Switzerland

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References 100