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
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Affiliation as printed
ETH Zurich, Department of Computer Science, Universitätstrasse 6, 8092, Zürich, Switzerland
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Affiliation as printed
ETH Zurich, Department of Computer Science, Universitätstrasse 6, 8092, Zürich, Switzerland
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Affiliation as printed
ETH Zurich, Department of Computer Science, Universitätstrasse 6, 8092, Zürich, Switzerland
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Affiliation as printed
RWTH Aachen University, Department of Computer Science, Ahornstrasse 55, 52056, Aachen, Germany
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Moritz Stocker corresponding
Affiliation as printed
ETH Zurich, Department of Computer Science, Universitätstrasse 6, 8092, Zürich, Switzerland
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