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Approximation Algorithms for Constrained Resource Allocation

  • Krzysztof PieńkoszEmail author
Conference paper
  • 83 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1196)

Abstract

In the paper the problem of effective allocation of a single resource in manufacturing or logistic systems is considered. In order to reduce additional costs, the cardinality constraints are imposed that allow one to allocate the resource only to the limited number of operations. This problem is NP-hard. Two approximation algorithms are proposed and their properties are analyzed. In particular, the worst-case performance of these algorithms is studied, and the results of their experimental comparison are presented.

Keywords

Resource allocation Cardinality constraints Approximation algorithms Worst-case analysis 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Warsaw University of Technology, Institute of Control and Computation EngineeringWarsawPoland

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